Principal Components Analysis

Principle Components Analysis (PCA) is an unsupervised method primary used for dimensionality reduction within machine learning. PCA is calculated via a singular value decomposition (SVD) of the design matrix, or alternatively, by calculating the covariance matrix of the data and performing eigenvalue decomposition on the covariance matrix. The results of PCA provide a low-dimensional picture of the structure of the data and the leading (uncorrelated) latent factors determining variation in the data.

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Latest Papers

PAPER DATE
Quantitative Understanding of VAE by Interpreting ELBO as Rate Distortion Cost of Transform Coding
Akira NakagawaKeizo Kato
2020-07-30
Generative networks as inverse problems with fractional wavelet scattering networks
Jiasong WuJing ZhangFuzhi WuYouyong KongGuanyu YangLotfi SenhadjiHuazhong Shu
2020-07-28
End-to-end Learning of Compressible Features
Saurabh SinghSami Abu-El-HaijaNick JohnstonJohannes BalléAbhinav ShrivastavaGeorge Toderici
2020-07-23
Improving the HardNet Descriptor
Milan Pultar
2020-07-19
Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components
Ken AlparslanYigit AlparslanMatthew Burlick
2020-07-14
Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups
Takanori FujiwaraTzu-Ping Liu
2020-07-09
Incorporating prior knowledge about structural constraints in model identification
Deepak MauryaSivadurgaprasad ChintaAbhishek SivaramRaghunathan Rengaswamy
2020-07-08
Statistical shape analysis of brain arterial networks (BAN)
Xiaoyang GuoAditi Basu BalTom NeedhamAnuj Srivastava
2020-07-08
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis
Elena RaponiHao WangMariusz BujnySimonetta BoriaCarola Doerr
2020-07-02
Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI
Jin JinLin ZhangEthan LengGregory J. MetzgerJoseph S. Koopmeiners
2020-07-02
A New Basis for Sparse PCA
| Fan ChenKarl Rohe
2020-07-01
Subspace approximation with outliers
Amit DeshpandeRameshwar Pratap
2020-06-30
The Max-Cut Decision Tree: Improving on the Accuracy and Running Time of Decision Trees
Jonathan BodineDorit S. Hochbaum
2020-06-25
Fully Convolutional Open Set Segmentation
Hugo OliveiraCaio SilvaGabriel L. S. MachadoKeiller NogueiraJefersson A. dos Santos
2020-06-25
An $\ell_p$ theory of PCA and spectral clustering
Emmanuel AbbeJianqing FanKaizheng Wang
2020-06-24
Principal Component Networks: Parameter Reduction Early in Training
Roger WaleffeTheodoros Rekatsinas
2020-06-23
Connecting Graph Convolutional Networks and Graph-Regularized PCA
Lingxiao ZhaoLeman Akoglu
2020-06-22
Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data
Nabeel SeedatVered Aharonson
2020-06-22
Free Energy Wells and Overlap Gap Property in Sparse PCA
Gérard Ben ArousAlexander S. WeinIlias Zadik
2020-06-18
Ordering Dimensions with Nested Dropout Normalizing Flows
Artur BekasovIain Murray
2020-06-15
Supervised Visualization for Data Exploration
Jake S. RhodesAdele CutlerGuy WolfKevin R. Moon
2020-06-15
Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise
Namrata VaswaniPraneeth Narayanamurthy
2020-06-14
Disentangled Representation Learning and Generation with Manifold Optimization
Arun PandeyMichael FanuelJoachim SchreursJohan A. K. Suykens
2020-06-12
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
Arun JambulapatiJerry LiKevin Tian
2020-06-12
Schrödinger PCA: You Only Need Variances for Eigenmodes
Ziming LiuSitian QianYixuan WangYuxuan YanTianyi Yang
2020-06-08
Objective-Sensitive Principal Component Analysis for High-Dimensional Inverse Problems
Maksim ElizarevAndrei MukhinAleksey Khlyupin
2020-06-02
Estimating Principal Components under Adversarial Perturbations
Pranjal AwasthiXue ChenAravindan Vijayaraghavan
2020-05-31
Derivation of Symmetric PCA Learning Rules from a Novel Objective Function
Ralf Möller
2020-05-24
Principal Component Analysis Based on T$\ell_1$-norm Maximization
Xiang-Fei YangYuan-Hai ShaoChun-Na LiLi-Ming LiuNai-Yang Deng
2020-05-23
Computationally efficient sparse clustering
Matthias LöfflerAlexander S. WeinAfonso S. Bandeira
2020-05-21
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew BrennanGuy Bresler
2020-05-16
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality
Dimitris BertsimasRyan Cory-WrightJean Pauphilet
2020-05-11
Gleason Score Prediction using Deep Learning in Tissue Microarray Image
Yi-hong ZhangJing ZhangYang SongChaomin ShenGuang Yang
2020-05-11
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching
| Smith W. A. CanchumunJose D. B. CastroJúlia PotratzAlexandre A. EmerickMarco Aurelio C. Pacheco
2020-05-08
Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders
| Muhammad Ammar MalikTom Michoel
2020-05-06
A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis
Fan HeXiaolin HuangKexin LvJie Yang
2020-05-06
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction
Toshiaki Koike-AkinoYe Wang
2020-05-06
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Bokun WangShiqian MaLingzhou Xue
2020-05-03
PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution
Hao DouChen ChenXiyuan HuZhisen HuSilong Peng
2020-05-01
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
Suzanna SiaAyush DalmiaSabrina J. Mielke
2020-04-30
Learning Polynomials of Few Relevant Dimensions
Sitan ChenRaghu Meka
2020-04-28
Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices
Calypso HerreraFlorian KrachAnastasis KratsiosPierre RuyssenJosef Teichmann
2020-04-28
How Much Should I Pay? An Empirical Analysis on Monetary Prize in TopCoder
Mostaan Lotfalian SaremiRazieh SaremiDenisse Martinez-Mejorado
2020-04-26
Spectral Learning on Matrices and Tensors
Majid JanzaminRong GeJean KossaifiAnima Anandkumar
2020-04-16
Minimizing FLOPs to Learn Efficient Sparse Representations
| Biswajit PariaChih-Kuan YehIan E. H. YenNing XuPradeep RavikumarBarnabás Póczos
2020-04-12
Distributed Estimation for Principal Component Analysis: a Gap-free Approach
Xi ChenJason D. LeeHe LiYun Yang
2020-04-05
DNA Methylation Data to Predict Suicidal and Non-Suicidal Deaths: A Machine Learning Approach
Rifat ZahanIan McQuillanNathaniel D. Osgood
2020-04-04
Sparse Concept Coded Tetrolet Transform for Unconstrained Odia Character Recognition
Kalyan S DashN B PuhanG Panda
2020-04-03
Kernel autocovariance operators of stationary processes: Estimation and convergence
Mattes MollenhauerStefan KlusChristof SchüttePéter Koltai
2020-04-02
A lower bound for the ELBO of the Bernoulli Variational Autoencoder
Robert SicksRalf KornStefanie Schwaar
2020-03-26
Derivation of Coupled PCA and SVD Learning Rules from a Newton Zero-Finding Framework
Ralf Möller
2020-03-25
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng WangYuling YanMateo Diaz
2020-03-22
3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos
Zipeng YeRan YiMinjing YuJuyong ZhangYu-Kun LaiYong-jin Liu
2020-03-15
Addressing multiple metrics of group fairness in data-driven decision making
Marius MironSongül TolanEmilia GómezCarlos Castillo
2020-03-10
Unsupervised Learning of Intrinsic Structural Representation Points
| Nenglun ChenLingjie LiuZhiming CuiRunnan ChenDuygu CeylanChanghe TuWenping Wang
2020-03-03
Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture
Aqsa Saeed QureshiAsifullah KhanMuhammad Waleed Khan
2020-02-28
Supervised Dimensionality Reduction and Visualization using Centroid-encoder
Tomojit GhoshMichael Kirby
2020-02-27
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang HanRebecca WillettAnru Zhang
2020-02-26
Sparse principal component regression via singular value decomposition approach
| Shuichi Kawano
2020-02-21
Privacy Preserving PCA for Multiparty Modeling
Yingting LiuChaochao ChenLongfei ZhengLi WangJun ZhouGuiquan LiuShuang Yang
2020-02-06
Generalized Visual Information Analysis via Tensorial Algebra
Liang LiaoStephen John Maybank
2020-01-31
Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio
Bryan LimStefan ZohrenStephen Roberts
2020-01-23
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition
| Roland HaaseStefan HeldmannJan Lellmann
2020-01-10
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction
Zhenhua ShiDongrui WuJian HuangYu-Kai WangChin-Teng Lin
2020-01-09
Emo-CNN for Perceiving Stress from Audio Signals: A Brain Chemistry Approach
Anup Anand DeshmukhCatherine SoladieRenaud Seguier
2020-01-08
A kernel Principal Component Analysis (kPCA) digest with a new backward mapping (pre-image reconstruction) strategy
Alberto García-GonzálezAntonio HuertaSergio ZlotnikPedro Díez
2020-01-07
Neural Networks for Principal Component Analysis: A New Loss Function Provably Yields Ordered Exact Eigenvectors
Anonymous
2020-01-01
{COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Anonymous
2020-01-01
Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness
| Anonymous
2020-01-01
Generative Adversarial Networks For Data Scarcity Industrial Positron Images With Attention
Mingwei ZhuMin ZhaoMin YaoRuipeng Guo
2020-01-01
RATE-DISTORTION OPTIMIZATION GUIDED AUTOENCODER FOR GENERATIVE APPROACH
Anonymous
2020-01-01
Outlier Detection and Data Clustering via Innovation Search
Mostafa RahmaniPing Li
2019-12-30
A Compared Study Between Some Subspace Based Algorithms
Xing LiuXiao-Jun WuZhen LiuHe-Feng Yin
2019-12-23
Quantifying the Effects of the 2008 Recession using the Zillow Dataset
Arunav GuptaLucas NguyenCamille DunningKa Ming Chan
2019-12-23
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Chen WuHongruixuan ChenBo DoLiangpei Zhang
2019-12-18
Projection pursuit with applications to scRNA sequencing data
Elvis CuiHeather Zhou
2019-12-16
The Wasserstein-Fourier Distance for Stationary Time Series
Elsa CazellesArnaud RobertFelipe Tobar
2019-12-11
Principal Component Properties of Adversarial Samples
Malhar JereSandro HerbigChristine LindFarinaz Koushanfar
2019-12-07
Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection
Urwa MuazStanislav Sobolevsky
2019-12-05
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity
Dan Garber
2019-12-03
Reionization history constraints from neural network based predictions of high-redshift quasar continua
D. ĎurovčíkováH. KatzS. E. I. BosmanF. B. DaviesJ. DevriendtA. Slyz
2019-12-02
Robust Principal Component Analysis with Adaptive Neighbors
Rui ZhangHanghang Tong
2019-12-01
Outlier Detection and Robust PCA Using a Convex Measure of Innovation
Mostafa RahmaniPing Li
2019-12-01
Adversarially Robust Low Dimensional Representations
Pranjal AwasthiVaggos ChatziafratisXue ChenAravindan Vijayaraghavan
2019-11-29
ROIPCA: An Online PCA algorithm based on rank-one updates
Roy MitzYoel Shkolnisky
2019-11-25
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling
Chihao ZhangKuo GaiShihua Zhang
2019-11-25
Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy
Szu-Chi ChungShao-Hsuan WangPo-Yao NiuSu-Yun HuangWei-Hau ChangI-Ping Tu
2019-11-22
Multi-PCA based Fault Detection Model Combined with Prior knowledge of HVAC
Ziming LiuXiaobo Liu
2019-11-21
Learning Embeddings from Cancer Mutation Sets for Classification Tasks
Geoffroy Dubourg-FelonneauYasmeen KussadDominic KirkhamJohn W CassidyNirmesh PatelHarry W Clifford
2019-11-20
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning
| Yixuan QiuJing LeiKathryn Roeder
2019-11-19
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Ilias DiakonikolasSushrut KarmalkarDaniel KaneEric PriceAlistair Stewart
2019-11-19
Efficient Fair Principal Component Analysis
Mohammad Mahdi KamaniFarzin HaddadpourRana ForsatiMehrdad Mahdavi
2019-11-12
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data
John JustSambuddha Ghosal
2019-11-12
Auto-encoding graph-valued data with applications to brain connectomes
Meimei LiuZhengwu ZhangDavid B. Dunson
2019-11-07
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James LucasGeorge TuckerRoger GrosseMohammad Norouzi
2019-11-06
ODE-Inspired Analysis for the Biological Version of Oja's Rule in Solving Streaming PCA
Chi-Ning ChouMien Brabeeba Wang
2019-11-04
A Generalization of Principal Component Analysis
Samuele BattaglinoErdem Koyuncu
2019-10-29
Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity
Sahar HojjatiniaConstantino M. Lagoa
2019-10-27
Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations
Jean P. ChereauBruno Scalzo DeesDanilo P. Mandic
2019-10-24
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn TanGuillaume AndrozAhmad ChamseddinePierre FecteauAaron CourvilleYoshua BengioJoseph Paul Cohen
2019-10-21
Introduction to Coresets: Accurate Coresets
Ibrahim JubranAlaa MaaloufDan Feldman
2019-10-19
Approximate Nearest Neighbor Search as a Multi-Label Classification Problem
Ville HyvönenElias JääsaariTeemu Roos
2019-10-18
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
| Chih-Kuan YehBeen KimSercan O. ArikChun-Liang LiTomas PfisterPradeep Ravikumar
2019-10-17
Mapper Based Classifier
| Jacek CyrankaAlexander GeorgesDavid Meyer
2019-10-17
A greedy anytime algorithm for sparse PCA
| Guy HoltzmanAdam SofferDan Vilenchik
2019-10-15
Roweis Discriminant Analysis: A Generalized Subspace Learning Method
| Benyamin GhojoghFakhri KarrayMark Crowley
2019-10-11
On Polyhedral and Second-Order Cone Decompositions of Semidefinite Optimization Problems
Dimitris BertsimasRyan Cory-Wright
2019-10-08
Recurrent neural network based decision support system
Abiodun AyodejiYong-kuo Liu
2019-10-05
Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI
Ruiming CaoXinran ZhongFabien ScalzoSteven RamanKyung hyun Sung
2019-10-05
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive
Gabriele FranchGiuseppe JurmanLuca CovielloMarta PendesiniCesare Furlanello
2019-10-01
Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks
Malik Magdon-IsmailAlex Gittens
2019-09-27
Sparse Canonical Correlation Analysis via Concave Minimization
Omid S. SolariJames B. BrownPeter J. Bickel
2019-09-17
Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection
Naoya Takeishi
2019-09-08
Single Training Dimension Selection for Word Embedding with PCA
Yu Wang
2019-08-30
Principal Component Analysis Using Structural Similarity Index for Images
| Benyamin GhojoghFakhri KarrayMark Crowley
2019-08-25
Gaussian Sketching yields a J-L Lemma in RKHS
Samory KpotufeBharath K. Sriperumbudur
2019-08-16
Advancing characterisation with statistics from correlative electron diffraction and X-ray spectroscopy, in the scanning electron microscope
T. P. McAuliffeA. FodenC. BilslandD. Daskalaki-MountanouD. DyeT. B. Britton
2019-08-12
Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections
| Martin TvetenIngrid K. Glad
2019-08-06
AppMine: Behavioral Analytics for Web Application Vulnerability Detection
Indranil JanaAlina Oprea
2019-08-06
Effective Dimensionality Reduction for Word Embeddings
| Vikas RaunakVivek GuptaFlorian Metze
2019-08-01
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy KuniskyAlexander S. WeinAfonso S. Bandeira
2019-07-26
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method
Guihong WanCrystal MaungHaim Schweitzer
2019-07-24
Word Sense Disambiguation using Diffusion Kernel PCA
Bilge SipalOzcan SariAsena TekeNurullah Demirci
2019-07-21
Federated Principal Component Analysis
| Andreas GrammenosRodrigo Mendoza-SmithCecilia MascoloJon Crowcroft
2019-07-18
Fast approximation of orthogonal matrices and application to PCA
Cristian RusuLorenzo Rosasco
2019-07-18
Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling
Nicholas StergeBharath SriperumbudurLorenzo RosascoAlessandro Rudi
2019-07-11
All Sparse PCA Models Are Wrong, But Some Are Useful. Part I: Computation of Scores, Residuals and Explained Variance
J. CamachoA. K. SmildeE. SaccentiJ. A. Westerhuis
2019-07-09
Tracking system of Mine Patrol Robot for Low Illumination Environment
Shaoze YouHua ZhuMenggang LiLei WangChaoquan Tang
2019-07-03
Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA
Moshe KravchikAsaf Shabtai
2019-07-02
Tutorial: Complexity analysis of Singular Value Decomposition and its variants
| Xiaocan LiShuo WangYinghao Cai
2019-06-28
Spectral Properties of Radial Kernels and Clustering in High Dimensions
David Cohen-SteinerAlba Chiara de Vitis
2019-06-25
Fisher and Kernel Fisher Discriminant Analysis: Tutorial
| Benyamin GhojoghFakhri KarrayMark Crowley
2019-06-22
Backpropagation-Friendly Eigendecomposition
Wei WangZheng DangYinlin HuPascal FuaMathieu Salzmann
2019-06-21
Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net
Rongfang WangJie ZhangJia-Wei ChenLicheng JiaoMi Wang
2019-06-19
Estimating a Manifold from a Tangent Bundle Learner
Bharathkumar RamachandraBenjamin DuttonRanga Raju Vatsavai
2019-06-18
Classification of EEG Signals using Genetic Programming for Feature Construction
Icaro Marcelino MirandaClaus AranhaMarcelo Ladeira
2019-06-11
Efficiently escaping saddle points on manifolds
Chris CriscitielloNicolas Boumal
2019-06-10
Complete Dictionary Learning via $\ell^4$-Norm Maximization over the Orthogonal Group
Yuexiang ZhaiZitong YangZhenyu LiaoJohn WrightYi Ma
2019-06-06
Unsupervised and Supervised Principal Component Analysis: Tutorial
| Benyamin GhojoghMark Crowley
2019-06-01
Prostate Cancer Detection using Deep Convolutional Neural Networks
Sunghwan YooIsha GujrathiMasoom A. HaiderFarzad Khalvati
2019-05-30
How to iron out rough landscapes and get optimal performances: Averaged Gradient Descent and its application to tensor PCA
Giulio BiroliChiara CammarotaFederico Ricci-Tersenghi
2019-05-29
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
Chun-Mei FengYong XuJin-Xing LiuYing-Lian GaoChun-Hou Zheng
2019-05-28
AdaOja: Adaptive Learning Rates for Streaming PCA
| Amelia HenriksenRachel Ward
2019-05-28
Adaptive probabilistic principal component analysis
Adam FarooqYordan P. RaykovLuc EversMax A. Little
2019-05-27
Online Distributed Estimation of Principal Eigenspaces
Davoud Ataee TarzanaghMohamad Kazem Shirani FaradonbehGeorge Michailidis
2019-05-17
Functional Lagged Regression with Sparse Noisy Observations
Tomáš RubínVictor M. Panaretos
2019-05-17
Rotation Invariant Householder Parameterization for Bayesian PCA
| Rajbir S. NirwanNils Bertschinger
2019-05-12
Refined Complexity of PCA with Outliers
Fedor V. FominPetr A. GolovachFahad PanolanKirill Simonov
2019-05-10
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
Takanori FujiwaraJia-Kai ChouShilpikaPanpan XuLiu RenKwan-Liu Ma
2019-05-10
Guided Visual Exploration of Relations in Data Sets
| Kai PuolamäkiEmilia OikarinenAndreas Henelius
2019-05-07
Uncertainty-Aware Principal Component Analysis
| Jochen GörtlerThilo SpinnerDirk StreebDaniel WeiskopfOliver Deussen
2019-05-03
An Exhaustive Analysis of Lazy vs. Eager Learning Methods for Real-Estate Property Investment
Setareh RafatiradMaryam Heidari
2019-05-01
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics
Xi ChenSimon S. DuXin T. Tong
2019-04-30
Low-Rank Principal Eigenmatrix Analysis
Krishna BalasubramanianElynn Y. ChenJianqing FanXiang Wu
2019-04-28
Learning Feature Sparse Principal Components
Lai TianFeiping NieXuelong Li
2019-04-23
Low-Rank Approximation from Communication Complexity
Cameron MuscoChristopher MuscoDavid P. Woodruff
2019-04-22
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence
Vasileios CharisopoulosYudong ChenDamek DavisMateo DíazLijun DingDmitriy Drusvyatskiy
2019-04-22
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers
Bowen ZhaoXi XiaoWanpeng ZhangBin ZhangShutao Xia
2019-04-13
Tensor Sparse PCA and Face Recognition: A Novel Approach
Loc Hoang TranLinh Hoang Tran
2019-04-12
Measuremental Informatics on Single cell Hyperspectral Raman Images for the diagnosis of Follicular Thyroid Carcinoma
Aurelien PelissierK. HashimotoKentaro MochizukiJames Nick TaylorYasuaki KumamotoAtsuyoshi NakamuraKoji TabataJean-Emmanuel ClementYoshinori HaradaKatsumasa FujitaTamiki Komatsuzaki
2019-04-11
The Kikuchi Hierarchy and Tensor PCA
Alexander S. WeinAhmed El AlaouiCristopher Moore
2019-04-08
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction
| Ramy HusseinMohamed Osama AhmedRabab WardZ. Jane WangLevin KuhlmannYi Guo
2019-04-07
A PCA-like Autoencoder
Saïd LadjalAlasdair NewsonChi-Hieu Pham
2019-04-02
Spherical Principal Component Analysis
| Kai LiuQiuwei LiHua WangGongguo Tang
2019-03-16
Image Classification base on PCA of Multi-view Deep Representation
Yaoqi SunLiang LiLiang ZhengJi HuYatong JiangChenggang Yan
2019-03-12
Discriminative Principal Component Analysis: A REVERSE THINKING
Hanli Qiao
2019-03-12
Logistic principal component analysis via non-convex singular value thresholding
Yipeng SongJohan A. WesterhuisAge K. Smilde
2019-02-25
Wasserstein GAN Can Perform PCA
Jaewoong ChoChangho Suh
2019-02-25
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew BrennanGuy Bresler
2019-02-20
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins
Jérôme TubianaSimona CoccoRémi Monasson
2019-02-18
Machine Learning With Feature Selection Using Principal Component Analysis for Malware Detection: A Case Study
Jason Zhang
2019-02-10
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters
| Marcin KopaczkaJustus SchockDorit Merhof
2019-02-09
Non-Stationary Streaming PCA
Daniel BienstockApurv ShuklaSeYoung Yun
2019-02-08
Bandit Principal Component Analysis
Wojciech KotłowskiGergely Neu
2019-02-08
Principal Model Analysis Based on Partial Least Squares
Qiwei XieLiang TangWeifu LiVijay JohnYong Hu
2019-02-06
What is the dimension of your binary data?
Nikolaj TattiTaneli MielikainenAristides GionisHeikki Mannila
2019-02-04
Improving SGD convergence by online linear regression of gradients in multiple statistically relevant directions
Jarek Duda
2019-01-31
Stochastic Linear Bandits with Hidden Low Rank Structure
Sahin LaleKamyar AzizzadenesheliAnima AnandkumarBabak Hassibi
2019-01-28
Deconstructing Generative Adversarial Networks
Banghua ZhuJiantao JiaoDavid Tse
2019-01-27
Incremental Principal Component Analysis Exact implementation and continuity corrections
Vittorio LippiGiacomo Ceccarelli
2019-01-23
Online Adaptive Principal Component Analysis and Its extensions
| Jianjun YuanAndrew Lamperski
2019-01-23
Loss Landscapes of Regularized Linear Autoencoders
| Daniel KuninJonathan M. BloomAleksandrina GoevaCotton Seed
2019-01-23
Meta-Learning Mean Functions for Gaussian Processes
Vincent FortuinHeiko StrathmannGunnar Rätsch
2019-01-23
Efficient Image Splicing Localization via Contrastive Feature Extraction
Ronald SalloumC. -C. Jay Kuo
2019-01-22
We Are Not Your Real Parents: Telling Causal from Confounded using MDL
David KaltenpothJilles Vreeken
2019-01-21
Disease Knowledge Transfer across Neurodegenerative Diseases
Razvan V. MarinescuMarco LorenziStefano B. BlumbergAlexandra L. YoungPere P. MorellNeil P. OxtobyArman EshaghiKeir X. YongSebastian J. CrutchPolina GollandDaniel C. Alexander
2019-01-11
Stochastic Approximation Algorithms for Principal Component Analysis
Jian Vora
2019-01-07
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections
Michael WojnowiczDi ZhangGlenn ChisholmXuan ZhaoMatt Wolff
2019-01-03
Learning RUMs: Reducing Mixture to Single Component via PCA
Devavrat ShahDogyoon Song
2018-12-31
Determining Principal Component Cardinality through the Principle of Minimum Description Length
Ami Tavory
2018-12-31
Spotting Micro-Expressions on Long Videos Sequences
Jingting LiCatherine SoladieRenaud SguierSujing WangMoi Hoon Yap
2018-12-26
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms
Zhihui ZhuYifan WangDaniel P. RobinsonDaniel Q. NaimanRene VidalManolis C. Tsakiris
2018-12-24
A determinantal point process for column subset selection
Ayoub BelhadjiRémi BardenetPierre Chainais
2018-12-23
Steerable $e$PCA: Rotationally Invariant Exponential Family PCA
Zhizhen ZhaoLydia T. LiuAmit Singer
2018-12-20
Detecting the Trend in Musical Taste over the Decade -- A Novel Feature Extraction Algorithm to Classify Musical Content with Simple Features
Anish Acharya
2018-12-19
Fast Botnet Detection From Streaming Logs Using Online Lanczos Method
Zheng ChenXinli YuChi ZhangJin ZhangCui LinBo SongJianliang GaoXiaohua HuWei-Shih YangErjia Yan
2018-12-19
Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search
| Elias JääsaariVille HyvönenTeemu Roos
2018-12-18
Variational Autoencoders Pursue PCA Directions (by Accident)
Michal RolinekDominik ZietlowGeorg Martius
2018-12-17
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization
Zhiwei WangYi LinKwang-Ting ChengXin Yang
2018-12-17
Robust Graph Learning from Noisy Data
| Zhao KangHaiqi PanSteven C. H. HoiZenglin Xu
2018-12-17
A Low Effort Approach to Structured CNN Design Using PCA
Isha GargPriyadarshini PandaKaushik Roy
2018-12-15
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method
Jean BarbierMohamad DiaNicolas MacrisFlorent KrzakalaLenka Zdeborová
2018-12-06
Feature Selection Based on Unique Relevant Information for Health Data
Shiyu LiuMehul Motani
2018-12-02
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
Zhihui ZhuYifan WangDaniel RobinsonDaniel NaimanRene VidalManolis Tsakiris
2018-12-01
Representation Learning of Compositional Data
| Marta AvalosRichard NockCheng Soon OngJulien RouarKe Sun
2018-12-01
Model-based targeted dimensionality reduction for neuronal population data
Mikio AoiJonathan W. Pillow
2018-12-01
Graph Multiview Canonical Correlation Analysis
Jia ChenGang WangGeorgios B. Giannakis
2018-11-29
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
Marco CavalloÇağatay Demiralp
2018-11-28
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs
| Dimitris BerberidisGeorgios B. Giannakis
2018-11-27
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Oren SolomonRegev CohenYi ZhangYi YangHe QiongJianwen LuoRuud J. G. van SlounYonina C. Eldar
2018-11-20
Interactive dimensionality reduction using similarity projections
Dimitris SpathisNikolaos PassalisAnastasios Tefas
2018-11-13
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Zhuozhuo TuJingwei ZhangDacheng Tao
2018-11-13
PynPoint: a modular pipeline architecture for processing and analysis of high-contrast imaging data
Tomas StolkerMarkus J. BonseSascha P. QuanzAdam AmaraGabriele CugnoAlexander J. BohnAnna Boehle
2018-11-08
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold
Shixiang ChenShiqian MaAnthony Man-Cho SoTong Zhang
2018-11-02
Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis
Guixiang MaNesreen K. AhmedTed WillkeDipanjan SenguptaMichael W. ColeNicholas B. Turk-BrownePhilip S. Yu
2018-11-02
The Price of Fair PCA: One Extra Dimension
| Samira SamadiUthaipon TantipongpipatJamie MorgensternMohit SinghSantosh Vempala
2018-10-31
Heteroskedastic PCA: Algorithm, Optimality, and Applications
Anru ZhangT. Tony CaiYihong Wu
2018-10-19
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach
Mastane AchabAnna KorbaStephan Clémençon
2018-10-15
On Kernel Derivative Approximation with Random Fourier Features
Zoltan SzaboBharath K. Sriperumbudur
2018-10-11
Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives
| Abhik SinglaShounak BhattacharyaDhaivat DholakiyaShalabh BhatnagarAshitava GhosalBharadwaj AmruturShishir Kolathaya
2018-10-09
Find the dimension that counts: Fast dimension estimation and Krylov PCA
Shashanka UbaruAbd-Krim SeghouaneYousef Saad
2018-10-08
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images
Riddhish BhalodiaShireen Y. ElhabianLadislav KavanRoss T. Whitaker
2018-09-28
Bayesian inference for PCA and MUSIC algorithms with unknown number of sources
| Viet Hung TranWenwu Wang
2018-09-26
Structured and Unstructured Outlier Identification for Robust PCA: A Non iterative, Parameter free Algorithm
Vishnu MenonSheetal Kalyani
2018-09-11
Analyzing Clothing Layer Deformation Statistics of 3D Human Motions
Jinlong YangJean-Sebastien FrancoFranck Hetroy-WheelerStefanie Wuhrer
2018-09-01
A novel extension of Generalized Low-Rank Approximation of Matrices based on multiple-pairs of transformations
Soheil AhmadiMansoor Rezghi
2018-08-31
On Learning 3D Face Morphable Model from In-the-wild Images
| Luan TranXiaoming Liu
2018-08-28
Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited data
| Charles B DelahuntJ Nathan Kutz
2018-08-23
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables
Clifford Anderson-BergmanTamara G. KoldaKina Kincher-Winoto
2018-08-22
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei WenLei ChuPeilin LiuRobert C. Qiu
2018-08-16
Robust high dimensional factor models with applications to statistical machine learning
Jianqing FanKaizheng WangYiqiao ZhongZiwei Zhu
2018-08-12
Hybrid Subspace Learning for High-Dimensional Data
Micol Marchetti-BowickBenjamin J. LengerichAnkur P. ParikhEric P. Xing
2018-08-05
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification
Yang DuChunfeng YuanBing LiLili ZhaoYangxi LiWeiming Hu
2018-08-03
On the achievability of blind source separation for high-dimensional nonlinear source mixtures
Takuya IsomuraTaro Toyoizumi
2018-08-02
Attention-based Pyramid Aggregation Network for Visual Place Recognition
Yingying ZhuJiong WangLingxi XieLiang Zheng
2018-08-01
Panchromatic Sharpening of Remote Sensing Images Using a Multi-scale Approach
Hamid Reza Shahdoosti
2018-07-24
Improved Adaptive Brovey as a New Method for Image Fusion
Hamid Reza Shahdoosti
2018-07-24
Tree-structured multi-stage principal component analysis (TMPCA): theory and applications
Yuanhang SuRuiyuan LinC. -C. Jay Kuo
2018-07-22
An Acceleration Scheme for Memory Limited, Streaming PCA
Salaheddin AlakkariJohn Dingliana
2018-07-17
Non-Gaussian Component Analysis using Entropy Methods
Navin GoyalAbhishek Shetty
2018-07-13
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models
Yimin LiuWenyue SunLouis J. Durlofsky
2018-07-07
A Comparative Study on using Principle Component Analysis with Different Text Classifiers
Ahmed I. TalobaD. A. EisaSafaa S. I. Ismail
2018-07-04
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models
Amelia PerryAlexander S. WeinAfonso S. BandeiraAnkur Moitra
2018-07-02
DNN Multimodal Fusion Techniques for Predicting Video Sentiment
Jennifer WilliamsRamona ComanescuOana RaduLeimin Tian
2018-07-01
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization
Poorya MianjyRaman Arora
2018-07-01
Streaming Principal Component Analysis in Noisy Setting
Teodor Vanislavov MarinovPoorya MianjyRaman Arora
2018-07-01
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization
Zeyuan Allen-Zhu
2018-07-01
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery
| Junjun JiangJiayi MaChen ChenZhongyuan WangZhihua CaiLizhe Wang
2018-06-26
PCA of high dimensional random walks with comparison to neural network training
Joseph M. AntogniniJascha Sohl-Dickstein
2018-06-22
Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging
Shan ShiFarouk Nathoo
2018-06-17
Streaming PCA and Subspace Tracking: The Missing Data Case
Laura BalzanoYuejie ChiYue M. Lu
2018-06-12
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants
Shiqian MaNecdet Serhat Aybat
2018-06-09
Feature selection in functional data classification with recursive maxima hunting
José L. TorrecillaAlberto Suárez
2018-06-07
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
| Canyi LuJiashi FengZhouchen LinShuicheng Yan
2018-06-07
A Spectral Approach to Gradient Estimation for Implicit Distributions
| Jiaxin ShiShengyang SunJun Zhu
2018-06-07
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
Tianyi LiuShiyang LiJianping ShiEnlu ZhouTuo Zhao
2018-06-04
Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint
Serim ParkMatthew Thorpe
2018-06-01
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease
| Xi Sheryl ZhangLifang HeKun ChenYuan LuoJiayu ZhouFei Wang
2018-05-22
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly
Benjamin GuedjLe Li
2018-05-18
Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets
Jia ChenGang WangGeorgios B. Giannakis
2018-05-15
Machine learning regression on hyperspectral data to estimate multiple water parameters
Philipp M. MaierSina Keller
2018-05-03
Quantum machine learning for data scientists
Dawid Kopczyk
2018-04-25
Decorrelated Batch Normalization
| Lei HuangDawei YangBo LangJia Deng
2018-04-23
Application of the Ranking Relative Principal Component Attributes Network Model (REL-PCANet) for the Inclusive Development Index Estimation
Anwar IrmatovElnura Irmatova
2018-04-16
Regularized Singular Value Decomposition and Application to Recommender System
Shuai ZhengChris DingFeiping Nie
2018-04-13
Fast, Parameter free Outlier Identification for Robust PCA
Vishnu MenonSheetal Kalyani
2018-04-13
Nonlinear 3D Face Morphable Model
| Luan TranXiaoming Liu
2018-04-11
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Chen ZhangHao YanSeungho LeeJianjun Shi
2018-04-11
Efficient Anomaly Detection via Matrix Sketching
Vatsal SharanParikshit GopalanUdi Wieder
2018-04-09
Tight Query Complexity Lower Bounds for PCA via Finite Sample Deformed Wigner Law
Max SimchowitzAhmed El AlaouiBenjamin Recht
2018-04-04
Non-Linear Temporal Subspace Representations for Activity Recognition
Anoop CherianSuvrit SraStephen GouldRichard Hartley
2018-03-27
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele CalandrielloAlessandro LazaricMichal Valko
2018-03-27
Trace your sources in large-scale data: one ring to find them all
| Alexander BöttcherWieland BrendelBernhard EnglitzMatthias Bethge
2018-03-23
Principal Component Analysis with Tensor Train Subspace
Wenqi WangVaneet AggarwalShuchin Aeron
2018-03-13
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
Minshuo ChenLin YangMengdi WangTuo Zhao
2018-03-06
Static and Dynamic Robust PCA and Matrix Completion: A Review
Namrata VaswaniPraneeth Narayanamurthy
2018-03-01
History PCA: A New Algorithm for Streaming PCA
| Puyudi YangCho-Jui HsiehJane-Ling Wang
2018-02-15
Towards Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations
Tianyi LiuZhehui ChenEnlu ZhouTuo Zhao
2018-02-14
Katyusha X: Practical Momentum Method for Stochastic Sum-of-Nonconvex Optimization
Zeyuan Allen-Zhu
2018-02-12
Convex Formulations for Fair Principal Component Analysis
| Matt OlfatAnil Aswani
2018-02-11
Multi-set Canonical Correlation Analysis simply explained
Lucas C Parra
2018-02-11
An Infinitesimal Probabilistic Model for Principal Component Analysis of Manifold Valued Data
Stefan Sommer
2018-01-31
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
| David CharteFrancisco CharteSalvador GarcíaMaría J. del JesusFrancisco Herrera
2018-01-04
Semi-supervised Outlier Detection using Generative And Adversary Framework
Jindong GuMatthias SchubertVolker Tresp
2018-01-01
Demystifying overcomplete nonlinear auto-encoders: fast SGD convergence towards sparse representation from random initialization
Cheng TangClaire Monteleoni
2018-01-01
Automatic Classification of Functional Gait Disorders
Djordje SlijepcevicMatthias ZeppelzauerAnna-Maria GorgasCaterine SchwabMichael SchüllerArnold BacaChristian BreitenederBrian Horsak
2017-12-18
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video
Brian E. MooreChen GaoRaj Rao Nadakuditi
2017-12-18
Nearly Optimal Robust Subspace Tracking
| Praneeth NarayanamurthyNamrata Vaswani
2017-12-17
Neural Component Analysis for Fault Detection
Haitao Zhao
2017-12-12
Fast Low-Rank Matrix Estimation without the Condition Number
Mohammadreza SoltaniChinmay Hegde
2017-12-08
Single-trial P300 Classification using PCA with LDA, QDA and Neural Networks
Nand Sharma
2017-12-06
Assessing Information Transmission in Data Transformations with the Channel Multivariate Entropy Triangle
Francisco J. Valverde-AlbaceteCarmen Peláez-Moreno
2017-11-30
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
Namrata VaswaniThierry BouwmansSajid JavedPraneeth Narayanamurthy
2017-11-26
Autoencoder Node Saliency: Selecting Relevant Latent Representations
| Ya Ju Fan
2017-11-21
A Fusion-based Gender Recognition Method Using Facial Images
Benyamin GhojoghSaeed Bagheri ShourakiHoda MohammadzadeEnsieh Iranmehr
2017-11-17
Accelerated Alternating Projections for Robust Principal Component Analysis
| HanQin CaiJian-Feng CaiKe Wei
2017-11-15
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework
Qianli MaLifeng ShenGarrison W. Cottrell
2017-11-13
Dimension Reduction of High-Dimensional Datasets Based on Stepwise SVM
Elizabeth P. ChouTzu-Wei Ko
2017-11-09
Clustering with feature selection using alternating minimization, Application to computational biology
Cyprien GiletMarie DeprezJean-Baptiste CaillauMichel Barlaud
2017-11-08
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA
Ji ChenXiaodong Li
2017-11-06
Fine-tuning CNN Image Retrieval with No Human Annotation
| Filip RadenovićGiorgos ToliasOndřej Chum
2017-11-03
Random Subspace Two-dimensional LDA for Face Recognition
Garrett Bingham
2017-11-02
The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition
Panos P. MarkopoulosDimitris G. ChachlakisEvangelos E. Papalexakis
2017-10-31
Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
Ghislain DurifLaurent ModoloJeff E. MoldSophie Lambert-LacroixFranck Picard
2017-10-30
DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets
Gang WangJia ChenGeorgios B. Giannakis
2017-10-25
SMSSVD - SubMatrix Selection Singular Value Decomposition
| Rasmus HenningssonMagnus Fontes
2017-10-23
Elliptical modeling and pattern analysis for perturbation models and classfication
Shan SuthaharanWeining Shen
2017-10-22
Facial Keypoints Detection
Shenghao Shi
2017-10-15
Regression-aware decompositions
Mark Tygert
2017-10-11
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis
Junyu ZhangShiqian MaShuzhong Zhang
2017-10-05
Permutation methods for factor analysis and PCA
Edgar Dobriban
2017-10-02
Comparison of PCA with ICA from data distribution perspective
Miron Ivanov
2017-09-29
A Simple and Fast Algorithm for L1-norm Kernel PCA
Cheolmin KimDiego Klabjan
2017-09-28
Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video
Chen GaoBrian E. MooreRaj Rao Nadakuditi
2017-09-27
Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection
Devu Manikantan ShilayKin Gwn LoreyTianshu WeizTeems LovettyYu Cheng
2017-09-26
Morphable Face Models - An Open Framework
| Thomas GerigAndreas Morel-ForsterClemens BlumerBernhard EggerMarcel LüthiSandro SchönbornThomas Vetter
2017-09-25
Contrastive Principal Component Analysis
| Abubakar AbidMartin J. ZhangVivek K. BagariaJames Zou
2017-09-20
Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent Noise
| Namrata VaswaniPraneeth Narayanamurthy
2017-09-19
Adaptive PCA for Time-Varying Data
Salaheddin AlakkariJohn Dingliana
2017-09-07
Supervised Dimensionality Reduction for Big Data
| Joshua T. VogelsteinEric BridgefordMinh TangDa ZhengChristopher DouvilleRandal BurnsMauro Maggioni
2017-09-05
Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI
| Xin YangChaoyue LiuZhiwei WangJun YangHung Le MinLiang WangKwang-Ting (Tim) Cheng
2017-08-24
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees
Sathya N. RaviMaxwell D. CollinsVikas Singh
2017-08-22
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Jinchao LiuMargarita OsadchyLorna AshtonMichael FosterChristopher J. SolomonStuart J. Gibson
2017-08-18
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
Canyi LuJiashi FengYudong ChenWei LiuZhouchen LinShuicheng Yan
2017-08-14
Multi-Stage Feature Selection Based Intelligent Classifier for Classification of Incipient Stage Fire in Building
Allan Melvin AndrewAmmar ZakariaShaharil Mad SaadAli Yeon Md Shakaff
2017-08-12
Simple and Effective Dimensionality Reduction for Word Embeddings
| Vikas Raunak
2017-08-11
Robust PCA by Manifold Optimization
Teng ZhangYi Yang
2017-08-01
Nearly Optimal Robust Matrix Completion
Yeshwanth CherapanamjeriKartik GuptaPrateek Jain
2017-08-01
Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery
Mostafa RahmaniGeorge Atia
2017-08-01
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices?
Andreas Loukas
2017-08-01
Joint Dimensionality Reduction and Metric Learning: A Geometric Take
Mehrtash HarandiMathieu SalzmannRichard Hartley
2017-08-01
Shape Generation using Spatially Partitioned Point Clouds
Matheus GadelhaSubhransu MajiRui Wang
2017-07-19
Accelerated Stochastic Power Iteration
| Christopher De SaBryan HeIoannis MitliagkasChristopher RéPeng Xu
2017-07-10
Learning Mixture of Gaussians with Streaming Data
Aditi RaghunathanRavishankar KrishnaswamyPrateek Jain
2017-07-08
Weighted Low Rank Approximation for Background Estimation Problems
Aritra DuttaXin Li
2017-07-04
Designing Illuminant Spectral Power Distributions for Surface Classification
| Henryk BlasinskiJoyce FarrellBrian Wandell
2017-07-01
Compressive Statistical Learning with Random Feature Moments
Rémi GribonvalGilles BlanchardNicolas KerivenYann Traonmilin
2017-06-22
Revisiting L21-norm Robustness with Vector Outlier Regularization
Bo JiangChris Ding
2017-06-20
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
Joel A. TroppAlp YurtseverMadeleine UdellVolkan Cevher
2017-06-18
Hidden Talents of the Variational Autoencoder
| Bin DaiYu WangJohn AstonGang HuaDavid Wipf
2017-06-16
Self-adaptive node-based PCA encodings
Leonard JohardVictor RiveraManuel MazzaraJooYoung Lee
2017-06-16
Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity
Florian SchäferT. J. SullivanHouman Owhadi
2017-06-07
Shape Parameter Estimation
Peng ZhengAleksandr Y. AravkinKarthikeyan Natesan Ramamurthy
2017-06-06
L1-norm Error Function Robustness and Outlier Regularization
Chris DingBo Jiang
2017-05-28
word2vec Skip-Gram with Negative Sampling is a Weighted Logistic PCA
Andrew J. LandgrafJeremy Bellay
2017-05-27
Provable Dynamic Robust PCA or Robust Subspace Tracking
| Praneeth NarayanamurthyNamrata Vaswani
2017-05-24
Sequence Summarization Using Order-constrained Kernelized Feature Subspaces
Anoop CherianSuvrit SraRichard Hartley
2017-05-24
ReFACTor: Practical Low-Rank Matrix Estimation Under Column-Sparsity
Matan GavishRegev SchweigerElior RahmaniEran Halperin
2017-05-22
MRI-PET Registration with Automated Algorithm in Pre-clinical Studies
Nathanael L. BaisaStéphanie BricqAlain Lalande
2017-05-19
Maximum Margin Principal Components
Xianghui LuoRobert J. Durrant
2017-05-17
VIP: Vortex Image Processing package for high-contrast direct imaging
C. A. Gomez GonzalezO. WertzO. AbsilV. ChristiaensD. DefrereD. MawetJ. MilliP. -A. AbsilM. Van DroogenbroeckF. CantalloubeP. M. HinzA. J. SkemerM. KarlssonJ. Surdej
2017-05-17
Unsupervised feature-learning for galaxy SEDs with denoising autoencoders
Joana Frontera-PonsFlorent SureauJerome BobinEmeric Le Floc'h
2017-05-16
Local Shrunk Discriminant Analysis (LSDA)
Zan GaoGuotai ZhangFeiping NieHua Zhang
2017-05-03
Group-sparse block PCA and explained variance
Marie ChaventGuy Chavent
2017-05-01
Matrix Completion and Related Problems via Strong Duality
Maria-Florina BalcanYingyu LiangDavid P. WoodruffHongyang Zhang
2017-04-27
Single-Pass PCA of Large High-Dimensional Data
| Wenjian YuYu GuJian LiShenghua LiuYaohang Li
2017-04-25
Robust, Deep and Inductive Anomaly Detection
| Raghavendra ChalapathyAditya Krishna MenonSanjay Chawla
2017-04-22
On the Gap Between Strict-Saddles and True Convexity: An Omega(log d) Lower Bound for Eigenvector Approximation
Max SimchowitzAhmed El AlaouiBenjamin Recht
2017-04-14
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong GeChi JinYi Zheng
2017-04-03
Provable Inductive Robust PCA via Iterative Hard Thresholding
U. N. NiranjanArun RajkumarTheja Tulabandhula
2017-04-02
Separation of time scales and direct computation of weights in deep neural networks
Nima DehmamyNeda RohaniAggelos Katsaggelos
2017-03-14
Microwave breast cancer detection using Empirical Mode Decomposition features
Hongchao SongYunpeng LiMark CoatesAidong Men
2017-02-24
Improving high-pass fusion method using wavelets
Hamid Reza Shahdoosti
2017-02-23
Feasibility of Principal Component Analysis in hand gesture recognition system
Tanu SrivastavaRaj Shree SinghSunil KumarPavan Chakraborty
2017-02-23
A Unified Framework for Low-Rank plus Sparse Matrix Recovery
Xiao ZhangLingxiao WangQuanquan Gu
2017-02-21
Robust Sparse Estimation Tasks in High Dimensions
Jerry Li
2017-02-20
Online Robust Principal Component Analysis with Change Point Detection
| Wei XiaoXiaolin HuangJorge SilvaSaba EmraniArin Chaudhuri
2017-02-19
Thresholding based Efficient Outlier Robust PCA
Yeshwanth CherapanamjeriPrateek JainPraneeth Netrapalli
2017-02-18
Maximally Correlated Principal Component Analysis
Soheil FeiziDavid Tse
2017-02-17
PCA in Data-Dependent Noise (Correlated-PCA): Nearly Optimal Finite Sample Guarantees
Namrata VaswaniPraneeth Narayanamurthy
2017-02-10
Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption
Mostafa RahmaniGeorge Atia
2017-02-07
Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning
Rudrasis ChakrabortySøren HaubergBaba C. Vemuri
2017-02-03
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis
Mathias SeuretMichele AlbertiRolf IngoldMarcus Liwicki
2017-02-01
Representation of big data by dimension reduction
A. G. RammC. Van
2017-01-31
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest
Corneliu ArsenePeter PormannWilliam SellersSiam Bhayro
2017-01-31
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
| Huynh Van LuongNikos DeligiannisJurgen SeilerSoren ForchhammerAndre Kaup
2017-01-24
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery
Juheon LeeDavid CoomesCarola-Bibiane SchonliebXiaohao CaiJan LellmannMichele DalponteYadvinder MalhiNathalie ButtMike Morecroft
2017-01-24
MS and PAN image fusion by combining Brovey and wavelet methods
Hamid Reza Shahdoosti
2017-01-08
Probabilistic graphical model based approach for water mapping using GaoFen-2 (GF-2) high resolution imagery and Landsat 8 time series
Luyan JiJie WangXiurui GengPeng Gong
2016-12-22
High Performance Software in Multidimensional Reduction Methods for Image Processing with Application to Ancient Manuscripts
Corneliu T. C. ArseneStephen ChurchMark Dickinson
2016-12-19
A Pseudo-Bayesian Algorithm for Robust PCA
Tae-Hyun OhYasuyuki MatsushitaIn KweonDavid Wipf
2016-12-01
Dimensionality Reduction of Massive Sparse Datasets Using Coresets
Dan FeldmanMikhail VolkovDaniela Rus
2016-12-01
Fast and accurate spike sorting of high-channel count probes with KiloSort
| Marius PachitariuNicholas A. SteinmetzShabnam N. KadirMatteo CarandiniKenneth D. Harris
2016-12-01
ResFeats: Residual Network Based Features for Image Classification
Ammar MahmoodMohammed BennamounSenjian AnFerdous Sohel
2016-11-21
$e$PCA: High Dimensional Exponential Family PCA
Lydia T. LiuEdgar DobribanAmit Singer
2016-11-17
Multilinear Low-Rank Tensors on Graphs & Applications
Nauman ShahidFrancesco GrassiPierre Vandergheynst
2016-11-15
Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction
Yujie QianYinpeng DongYe MaHailong JinJuanzi Li
2016-11-14
Unsupervised Learning For Effective User Engagement on Social Media
Thai PhamCamelia Simoiu
2016-11-11
Distributed Mean Estimation with Limited Communication
Ananda Theertha SureshFelix X. YuSanjiv KumarH. Brendan McMahan
2016-11-02
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
Namrata VaswaniHan Guo
2016-10-28
Homotopy Analysis for Tensor PCA
Anima AnandkumarYuan DengRong GeHossein Mobahi
2016-10-28
A random version of principal component analysis in data clustering
Luigi Leonardo Palese
2016-10-27
Single Pass PCA of Matrix Products
| Shanshan WuSrinadh BhojanapalliSujay SanghaviAlexandros G. Dimakis
2016-10-21
Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning
Carlos M. AlaízMichaël FanuelJohan A. K. Suykens
2016-10-21
What is the Best Way for Extracting Meaningful Attributes from Pictures?
Liangchen LiuArnold WiliemShaokang ChenBrian C. Lovell
2016-10-17
Mapping Between fMRI Responses to Movies and their Natural Language Annotations
| Kiran VodrahalliPo-Hsuan ChenYingyu LiangChristopher BaldassanoJanice ChenEsther YongChristopher HoneyUri HassonPeter RamadgeKen NormanSanjeev Arora
2016-10-13
Towards a Theoretical Analysis of PCA for Heteroscedastic Data
David HongLaura BalzanoJeffrey A. Fessler
2016-10-12
EM-Based Mixture Models Applied to Video Event Detection
Alessandra Martins CoelhoVania V. Estrela
2016-10-10
Sparse principal component regression for generalized linear models
Shuichi KawanoHironori FujisawaToyoyuki TakadaToshihiko Shiroishi
2016-09-28
Effective Combination of Language and Vision Through Model Composition and the R-CCA Method
Hagar LoeubRoi Reichart
2016-09-28
The RNN-ELM Classifier
Athanasios Vlontzos
2016-09-25
Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization
Amelia PerryAlexander S. WeinAfonso S. BandeiraAnkur Moitra
2016-09-19
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis
Mostafa RahmaniGeorge Atia
2016-09-15
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis
Young Woong ParkDiego Klabjan
2016-09-10
Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty
Amicie de PierrefeuTommy LöfstedtFouad Hadj-SelemMathieu DuboisPhilippe CiuciuVincent FrouinEdouard Duchesnay
2016-09-06
Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless Youth Peer Leaders Who Promote HIV Testing
Eric RiceRobin PeteringJaih CraddockAmanda Yoshioka-MaxwellAmulya YadavMilind Tambe
2016-08-19
Parameterized Principal Component Analysis
Ajay GuptaAdrian Barbu
2016-08-16
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
Namrata VaswaniHan Guo
2016-08-15
Early Methods for Detecting Adversarial Images
| Dan HendrycksKevin Gimpel
2016-08-01
Face Recognition Using Scattering Convolutional Network
Shervin MinaeeAmirali AbdolrashidiYao Wang
2016-07-30
Asymptotic properties of Principal Component Analysis and shrinkage-bias adjustment under the Generalized Spiked Population model
Rounak DeySeunggeun Lee
2016-07-28
Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling
Chi Nhan DuongKhoa LuuKha Gia QuachTien D. Bui
2016-07-23
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies
Alex GittensAditya DevarakondaEvan RacahMichael RingenburgLisa GerhardtJey KottalamJialin LiuKristyn MaschhoffShane CanonJatin ChhuganiPramod SharmaJiyan YangJames DemmelJim HarrellVenkat KrishnamurthyMichael W. MahoneyPrabhat
2016-07-05
Nearly-optimal Robust Matrix Completion
Yeshwanth CherapanamjeriKartik GuptaPrateek Jain
2016-06-23
Explaining Predictions of Non-Linear Classifiers in NLP
Leila ArrasFranziska HornGrégoire MontavonKlaus-Robert MüllerWojciech Samek
2016-06-23
The non-convex Burer-Monteiro approach works on smooth semidefinite programs
Nicolas BoumalVladislav VoroninskiAfonso S. Bandeira
2016-06-15
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
Jean BarbierMohamad DiaNicolas MacrisFlorent KrzakalaThibault LesieurLenka Zdeborova
2016-06-13
Sequential Principal Curves Analysis
Valero LaparraJesus Malo
2016-06-02
Suppressing Background Radiation Using Poisson Principal Component Analysis
P. TandonP. HugginsA. DubrawskiS. LabovK. Nelson
2016-05-26
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang YiDohyung ParkYudong ChenConstantine Caramanis
2016-05-25
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Hongyi ZhangSashank J. ReddiSuvrit Sra
2016-05-23
Bayesian Variable Selection for Globally Sparse Probabilistic PCA
Charles BouveyronPierre LatouchePierre-Alexandre Mattei
2016-05-19
Fast and Accurate Performance Analysis of LTE Radio Access Networks
Anand Padmanabha IyerIon StoicaMosharaf ChowdhuryLi Erran Li
2016-05-16
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis
Bo JiangTianyi LinShiqian MaShuzhong Zhang
2016-05-09
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals
Harris V. Georgiou
2016-05-09
Matrix Factorization-Based Clustering Of Image Features For Bandwidth-Constrained Information Retrieval
Jacob ChakareskiImmanuel ManoharShantanu Rane
2016-05-07
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity
Sohil ShahTom GoldsteinChristoph Studer
2016-05-06
Multi-Fold Gabor, PCA and ICA Filter Convolution Descriptor for Face Recognition
Cheng Yaw LowAndrew Beng Jin TeohCong Jie Ng
2016-04-24
Probing the Intra-Component Correlations within Fisher Vector for Material Classification
Xiaopeng HongXianbiao QiGuoying ZhaoMatti Pietikäinen
2016-04-15
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis
Weiran WangJialei WangDan GarberNathan Srebro
2016-04-07
Non-Greedy L21-Norm Maximization for Principal Component Analysis
Feiping NieHeng Huang
2016-03-28
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection
Zhuo HuiWen-Sheng Chu
2016-03-25
Near-Optimal Stochastic Approximation for Online Principal Component Estimation
Chris Junchi LiMengdi WangHan LiuTong Zhang
2016-03-16
An efficient Exact-PGA algorithm for constant curvature manifolds
Rudrasis ChakrabortyDohyung SeoBaba C. Vemuri
2016-03-13
Elastic Functional Coding of Riemannian Trajectories
| Rushil AnirudhPavan TuragaJingyong SuAnuj Srivastava
2016-03-07
PCA/LDA Approach for Text-Independent Speaker Recognition
Zhenhao GeSudhendu R. SharmaMark J. T. Smith
2016-02-25
An Improved Gap-Dependency Analysis of the Noisy Power Method
Maria Florina BalcanSimon S. DuYining WangAdams Wei Yu
2016-02-23
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm
Prateek JainChi JinSham M. KakadePraneeth NetrapalliAaron Sidford
2016-02-22
Principal Component Projection Without Principal Component Analysis
Roy FrostigCameron MuscoChristopher MuscoAaron Sidford
2016-02-22
Compressive PCA for Low-Rank Matrices on Graphs
Nauman ShahidNathanael PerraudinGilles PuyPierre Vandergheynst
2016-02-05
On the Nyström and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Data Sets
Darren HomrighausenDaniel J. McDonald
2016-02-02
Principal Polynomial Analysis
Valero LaparraSandra JiménezDevis TuiaGustau Camps-VallsJesús Malo
2016-01-31
Dimensionality Reduction via Regression in Hyperspectral Imagery
Valero LaparraJesus MaloGustau Camps-Valls
2016-01-31
Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach
Prashant KhanduriBhavya KailkhuraJayaraman J. ThiagarajanPramod K. Varshney
2016-01-22
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection
Pin-Yu ChenSutanay ChoudhuryAlfred O. Hero
2015-12-23
Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity
Qiaoya ZhangYiyuan She
2015-12-12
Pseudo-Bayesian Robust PCA: Algorithms and Analyses
Tae-Hyun OhYasuyuki MatsushitaIn So KweonDavid Wipf
2015-12-07
Analysis of Robust PCA via Local Incoherence
Huishuai ZhangYi ZhouYingbin Liang
2015-12-01
Informative Data Projections: A Framework and Two Examples
Tijl De BieJefrey LijffijtRaul Santos-RodriguezBo Kang
2015-11-27
Wishart Mechanism for Differentially Private Principal Components Analysis
Wuxuan JiangCong XieZhihua Zhang
2015-11-18
Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?
Hervé CardotDavid Degras
2015-11-11
Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means
| Farhad Pourkamali-AnarakiStephen Becker
2015-10-31
Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series
Hoang-Vu NguyenJilles Vreeken
2015-10-28
Aggregating Deep Convolutional Features for Image Retrieval
| Artem BabenkoVictor Lempitsky
2015-10-26
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters
Andrew J. LandgrafYoonkyung Lee
2015-10-21
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
Animashree AnandkumarPrateek JainYang ShiU. N. Niranjan
2015-10-15
Towards Meaningful Maps of Polish Case Law
Michal JungiewiczMichał Łopuszyński
2015-10-12
On the Complexity of Robust PCA and $\ell_1$-norm Low-Rank Matrix Approximation
Nicolas GillisStephen A. Vavasis
2015-09-30
Convergence of Stochastic Gradient Descent for PCA
Ohad Shamir
2015-09-30
Deep Trans-layer Unsupervised Networks for Representation Learning
Wentao ZhuJun MiaoLaiyun QingXilin Chen
2015-09-27
Fast and Simple PCA via Convex Optimization
Dan GarberElad Hazan
2015-09-18
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong ChenMartin J. Wainwright
2015-09-10
Value function approximation via low-rank models
| Hao Yi Ong
2015-08-31
A Randomized Rounding Algorithm for Sparse PCA
Kimon FountoulakisAbhisek KunduEugenia-Maria KontopoulouPetros Drineas
2015-08-13
Sparse PCA via Bipartite Matchings
Megasthenis AsterisDimitris PapailiopoulosAnastasios KyrillidisAlexandros G. Dimakis
2015-08-04
On the Worst-Case Approximability of Sparse PCA
Siu On ChanDimitris PapailiopoulosAviad Rubinstein
2015-07-21
Spectral Smoothing via Random Matrix Perturbations
Jacob AbernethyChansoo LeeAmbuj Tewari
2015-07-10
DCTNet : A Simple Learning-free Approach for Face Recognition
Cong Jie NgAndrew Beng Jin Teoh
2015-07-08
Iris Recognition Using Scattering Transform and Textural Features
Shervin MinaeeAmirAli AbdolrashidiYao Wang
2015-07-08
A note on patch-based low-rank minimization for fast image denoising
Haijuan HuJacques FromentQuansheng Liu
2015-06-28
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
Vivien SeguyMarco Cuturi
2015-06-26
Robust Structured Low-Rank Approximation on the Grassmannian
Clemens HageMartin Kleinsteuber
2015-06-12
Stay on path: PCA along graph paths
Megasthenis AsterisAnastasios KyrillidisAlexandros G. DimakisHan-Gyol Yi andBharath Chandrasekaran
2015-06-08
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
Zeyuan Allen-ZhuYang Yuan
2015-06-05
Unsupervised Learning on Neural Network Outputs: with Application in Zero-shot Learning
| Yao Lu
2015-06-02
Robust PCA: Optimization of the Robust Reconstruction Error over the Stiefel Manifold
Anastasia PodosinnikovaSimon SetzerMatthias Hein
2015-06-01
Using Dimension Reduction to Improve the Classification of High-dimensional Data
Andreas GrünauerMarkus Vincze
2015-05-26
A PCA-Based Convolutional Network
Yanhai GanJun LiuJunyu DongGuoqiang Zhong
2015-05-14
Self-Expressive Decompositions for Matrix Approximation and Clustering
Eva L. DyerTom A. GoldsteinRaajen PatelKonrad P. KordingRichard G. Baraniuk
2015-05-04
Deconstructing Principal Component Analysis Using a Data Reconciliation Perspective
Shankar NarasimhanNirav Bhatt
2015-05-02
Semi-Orthogonal Multilinear PCA with Relaxed Start
Qiquan ShiHaiping Lu
2015-04-30
Robust Principal Component Analysis on Graphs
Nauman ShahidVassilis KalofoliasXavier BressonMichael BronsteinPierre Vandergheynst
2015-04-23
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron MuscoChristopher Musco
2015-04-21
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo XieYingyu LiangLe Song
2015-04-14
Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation
Wojciech Marian CzarneckiRafał JózefowiczJacek Tabor
2015-04-10
Communication Efficient Distributed Kernel Principal Component Analysis
Maria-Florina BalcanYingyu LiangLe SongDavid WoodruffBo Xie
2015-03-23
Analysis of PCA Algorithms in Distributed Environments
Tarek ElgamalMohamed Hefeeda
2015-03-17
Online Matrix Completion and Online Robust PCA
Brian LoisNamrata Vaswani
2015-03-11
Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements
Wenfei CaoYao WangJian SunDeyu MengCan YangAndrzej CichockiZongben Xu
2015-03-06
Scalable Iterative Algorithm for Robust Subspace Clustering
Sanghyuk ChunYung-Kyun NohJinwoo Shin
2015-03-05
Robust estimation of principal components from depth-based multivariate rank covariance matrix
Subhabrata Majumdar
2015-02-25
Phase Transitions for High Dimensional Clustering and Related Problems
Jiashun JinZheng Tracy KeWanjie Wang
2015-02-24
Optimal Sparse Linear Auto-Encoders and Sparse PCA
Malik Magdon-IsmailChristos Boutsidis
2015-02-23
Rectified Factor Networks
Djork-Arné ClevertAndreas MayrThomas UnterthinerSepp Hochreiter
2015-02-23
NP-Hardness and Inapproximability of Sparse PCA
Malik Magdon-Ismail
2015-02-19
A HMAX with LLC for visual recognition
Kean Hong LauYong Haur TayFook Loong Lo
2015-02-10
Deep Autoencoders for Dimensionality Reduction of High-Content Screening Data
Lee ZamparoZhaolei Zhang
2015-01-07
Improving approximate RPCA with a k-sparsity prior
Maximilian KarlChristian Osendorfer
2014-12-29
Facial Expressions recognition Based on Principal Component Analysis (PCA)
Abdelmajid Hassan MansourGafar Zen Alabdeen SalhAli Shaif Alhalemi
2014-12-23
Correlation of Data Reconstruction Error and Shrinkages in Pair-wise Distances under Principal Component Analysis (PCA)
Abdulrahman Oladipupo Ibraheem
2014-12-21
A Stable Multi-Scale Kernel for Topological Machine Learning
Jan ReininghausStefan HuberUlrich BauerRoland Kwitt
2014-12-21
Cauchy Principal Component Analysis
Pengtao XieEric Xing
2014-12-19
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
| Qing QuJu SunJohn Wright
2014-12-15
A Framework for Shape Analysis via Hilbert Space Embedding
Sadeep JayasumanaMathieu SalzmannHongdong LiMehrtash Harandi
2014-12-13
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
Sadeep JayasumanaRichard HartleyMathieu SalzmannHongdong LiMehrtash Harandi
2014-12-13
Fast Steerable Principal Component Analysis
Zhizhen ZhaoYoel ShkolniskyAmit Singer
2014-12-02
Sparse PCA with Oracle Property
Quanquan GuZhaoran WangHan Liu
2014-12-01
Subspace Embeddings for the Polynomial Kernel
Haim AvronHuy NguyenDavid Woodruff
2014-12-01
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time
Zhaoran WangHuanran LuHan Liu
2014-12-01
A Convex Sparse PCA for Feature Analysis
Xiaojun ChangFeiping NieYi YangHeng Huang
2014-11-23
Unsupervised Neural Architecture for Saliency Detection: Extended Version
Natalia EfremovaSergey Tarasenko
2014-11-18
Kernel Mean Estimation via Spectral Filtering
Krikamol MuandetBharath SriperumbudurBernhard Schölkopf
2014-11-04
Non-convex Robust PCA
Praneeth NetrapalliU N NiranjanSujay SanghaviAnimashree AnandkumarPrateek Jain
2014-10-28
Generalized Low Rank Models
| Madeleine UdellCorinne HornReza ZadehStephen Boyd
2014-10-01
Blind foreground subtraction for intensity mapping experiments
David AlonsoPhilip BullPedro G. FerreiraMario G. Santos
2014-09-30
On The Power of Joint Wavelet-DCT Features for Multispectral Palmprint Recognition
Shervin MinaeeAmirAli Abdolrashidi
2014-09-27
Subspace Alignment For Domain Adaptation
Basura FernandoAmaury HabrardMarc SebbanTinne Tuytelaars
2014-09-18
On the optimality of shape and data representation in the spectral domain
Yonathan AflaloHaim BrezisRon Kimmel
2014-09-15
Improved Distributed Principal Component Analysis
Maria-Florina BalcanVandana KanchanapallyYingyu LiangDavid Woodruff
2014-08-25
Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time
Zhaoran WangHuanran LuHan Liu
2014-08-22
On the Sample Complexity of Subspace Learning
Alessandro RudiGuille D. CanasLorenzo Rosasco
2014-08-21
Tight convex relaxations for sparse matrix factorization
Emile RichardGuillaume ObozinskiJean-Philippe Vert
2014-07-19
Affine Subspace Representation for Feature Description
Zhenhua WangBin FanFuchao Wu
2014-07-18
Sequential Logistic Principal Component Analysis (SLPCA): Dimensional Reduction in Streaming Multivariate Binary-State System
Zhaoyi KangCostas J. Spanos
2014-07-16
An eigenanalysis of data centering in machine learning
Paul Honeine
2014-07-10
Novel methods for multilinear data completion and de-noising based on tensor-SVD
| Zemin ZhangGregory ElyShuchin AeronNing HaoMisha Kilmer
2014-07-07
Recognition of Isolated Words using Zernike and MFCC features for Audio Visual Speech Recognition
Prashant BordeaAmarsinh VarpebRamesh ManzacPravin Yannawara
2014-07-04
Face Image Classification by Pooling Raw Features
Fumin ShenChunhua ShenHeng Tao Shen
2014-06-26
On semidefinite relaxations for the block model
Arash A. AminiElizaveta Levina
2014-06-21
Dimensionality reduction for time series data
Diego VidaurreIead RezekSamuel L. HarrisonStephen S. SmithMark Woolrich
2014-06-14
Learning with Cross-Kernels and Ideal PCA
Franz J KirályMartin KreuzerLouis Theran
2014-06-10
Shared Representation Learning for Heterogeneous Face Recognition
Dong YiZhen LeiShengcai LiaoStan Z. Li
2014-06-05
PCANet: A Simple Deep Learning Baseline for Image Classification?
| Tsung-Han ChanKui JiaShenghua GaoJiwen LuZinan ZengYi Ma
2014-04-14
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization
Andreas ArgyriouMarco SignorettoJohan Suykens
2014-04-14
Neural Codes for Image Retrieval
| Artem BabenkoAnton SlesarevAlexandr ChigorinVictor Lempitsky
2014-04-07
A Tutorial on Principal Component Analysis
| Jonathon Shlens
2014-04-03
Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut
Zhenfang HuGang PanYueming WangZhaohui Wu
2014-03-25
Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset
Mehdi NaseriparsaMohammad Mansour Riahi Kashani
2014-03-08
Sparse Principal Component Analysis via Rotation and Truncation
Zhenfang HuGang PanYueming WangZhaohui Wu
2014-03-06
High Dimensional Semiparametric Scale-Invariant Principal Component Analysis
Fang HanHan Liu
2014-02-18
The Random Forest Kernel and other kernels for big data from random partitions
Alex DaviesZoubin Ghahramani
2014-02-18
Learning Ordered Representations with Nested Dropout
| Oren RippelMichael A. GelbartRyan P. Adams
2014-02-05
Randomized Nonlinear Component Analysis
David Lopez-PazSuvrit SraAlex SmolaZoubin GhahramaniBernhard Schölkopf
2014-02-01
Sparsistency and agnostic inference in sparse PCA
Jing LeiVincent Q. Vu
2014-01-27
Multilinear Wavelets: A Statistical Shape Space for Human Faces
Alan BruntonTimo BolkartStefanie Wuhrer
2014-01-13
Hybrid Approach to Face Recognition System using Principle component and Independent component with score based fusion process
Trupti M. Kodinariya
2014-01-02
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn
| Brent KomerJames BergstraChris Eliasmith
2014-01-01
Near-separable Non-negative Matrix Factorization with $\ell_1$- and Bregman Loss Functions
Abhishek KumarVikas Sindhwani
2013-12-27
Large-Scale Paralleled Sparse Principal Component Analysis
W. LiuH. ZhangD. TaoY. WangK. Lu
2013-12-21
Efficient Visual Coding: From Retina To V2
Honghao ShanGarrison Cottrell
2013-12-20
Word Emdeddings through Hellinger PCA
Rémi LebretRonan Collobert
2013-12-19
Robust Subspace System Identification via Weighted Nuclear Norm Optimization
Dorsa SadighHenrik OhlssonS. Shankar SastrySanjit A. Seshia
2013-12-07
Sparse Additive Text Models with Low Rank Background
Lei Shi
2013-12-01
Online Robust PCA via Stochastic Optimization
Jiashi FengHuan XuShuicheng Yan
2013-12-01
Online PCA for Contaminated Data
Jiashi FengHuan XuShie MannorShuicheng Yan
2013-12-01
Robust Transfer Principal Component Analysis with Rank Constraints
Yuhong Guo
2013-12-01
Robust learning of low-dimensional dynamics from large neural ensembles
David PfauEftychios A. PnevmatikakisLiam Paninski
2013-12-01
Probabilistic Principal Geodesic Analysis
Miaomiao ZhangTom Fletcher
2013-12-01
Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis
Ángela FernándezNeta RabinDalia FishelovJosé R. Dorronsoro
2013-11-26
The Noisy Power Method: A Meta Algorithm with Applications
Moritz HardtEric Price
2013-11-11
Using Robust PCA to estimate regional characteristics of language use from geo-tagged Twitter messages
Dániel KondorIstván CsabaiLászló DobosJános SzüleNorbert BarankaiTamás HanyeczTamás SebőkZsófia KallusGábor Vattay
2013-11-05
TOP-SPIN: TOPic discovery via Sparse Principal component INterference
Martin TakáčSelin Damla AhipaşaoğluNgai-Man CheungPeter Richtárik
2013-11-04
Principal motion components for gesture recognition using a single-example
Hugo Jair EscalanteIsabelle GuyonVassilis AthitsosPat JangyodsukJun Wan
2013-10-17
Optimal Sensor Placement and Enhanced Sparsity for Classification
B. W. BruntonS. L. BruntonJ. L. ProctorJ. N. Kutz
2013-10-15
Classifying Traffic Scenes Using The GIST Image Descriptor
Ivan SikirićKarla BrkićSiniša Šegvić
2013-10-01
Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM
Zhizhen ZhaoAmit Singer
2013-09-29
Sparse and Functional Principal Components Analysis
| Genevera I. AllenMichael Weylandt
2013-09-11
Learning Transformations for Clustering and Classification
Qiang QiuGuillermo Sapiro
2013-09-09
A Comparative Study of Human thermal face recognition based on Haar wavelet transform (HWT) and Local Binary Pattern (LBP)
Ayan SealSuranjan GangulyDebotosh BhattacharjeeMita NasipuriDipak Kumar Basu
2013-09-04
Stochastic Optimization of PCA with Capped MSG
Raman AroraAndrew CotterNathan Srebro
2013-07-05
Separation of cardiac and respiratory components from the electrical bio-impedance signal using PCA and fast ICA
Yar M. MughalA. KrivosheiP. Annus
2013-07-03
Memory Limited, Streaming PCA
Ioannis MitliagkasConstantine CaramanisPrateek Jain
2013-06-28
Fourier PCA and Robust Tensor Decomposition
| Navin GoyalSantosh VempalaYing Xiao
2013-06-25
A Novel Block-DCT and PCA Based Image Perceptual Hashing Algorithm
Zeng Jie
2013-06-18
On-line PCA with Optimal Regrets
Jiazhong NieWojciech KotlowskiManfred K. Warmuth
2013-06-17
Do semidefinite relaxations solve sparse PCA up to the information limit?
Robert KrauthgamerBoaz NadlerDan Vilenchik
2013-06-16
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?
James BergstraDavid D. Cox
2013-06-14
Robust Support Vector Machines for Speaker Verification Task
Kawthar Yasmine ZergatAbderrahmane Amrouche
2013-06-12
Emotional Expression Classification using Time-Series Kernels
Andras LorinczLaszlo JeniZoltan SzaboJeffrey CohnTakeo Kanade
2013-06-08
Performance analysis of unsupervised feature selection methods
A. Nisthana ParveenH. Hannah InbaraniE. N. Sathishkumar
2013-06-06
Iterative Grassmannian Optimization for Robust Image Alignment
Jun HeDejiao ZhangLaura BalzanoTao Tao
2013-06-03
A Unified Framework for Probabilistic Component Analysis
Mihalis A. NicolaouStefanos ZafeiriouMaja Pantic
2013-03-13
Sparse PCA through Low-rank Approximations
Dimitris S. PapailiopoulosAlexandros G. DimakisStavros Korokythakis
2013-03-03
Adaptive Metric Dimensionality Reduction
Lee-Ad GottliebAryeh KontorovichRobert Krauthgamer
2013-02-12
pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video
Florian SeidelClemens HageMartin Kleinsteuber
2013-02-08
Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi NakajimaRyota TomiokaMasashi SugiyamaS. D. Babacan
2012-12-01
Near-optimal Differentially Private Principal Components
Kamalika ChaudhuriAnand SarwateKaushik Sinha
2012-12-01
Distributed Probabilistic Learning for Camera Networks with Missing Data
Sejong YoonVladimir Pavlovic
2012-12-01
On the Sample Complexity of Robust PCA
Matthew CoudronGilad Lerman
2012-12-01
Principal Component Analysis with Noisy and/or Missing Data
Stephen Bailey
2012-08-20
Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models
| Quan Wang
2012-07-15
Near-Optimal Algorithms for Differentially-Private Principal Components
Kamalika ChaudhuriAnand D. SarwateKaushik Sinha
2012-07-12
A Linear Approximation to the chi^2 Kernel with Geometric Convergence
Fuxin LiGuy LebanonCristian Sminchisescu
2012-06-18
Optimizing Face Recognition Using PCA
Manal AbdullahMajda WazzanSahar Bo-saeed
2012-06-07
Invariant Scattering Convolution Networks
| Joan BrunaStéphane Mallat
2012-03-05
A Novel M-Estimator for Robust PCA
Teng ZhangGilad Lerman
2011-12-20
Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei ZhangLaurent E. Ghaoui
2011-12-01
Demixed Principal Component Analysis
Wieland BrendelRanulfo RomoChristian K. Machens
2011-12-01
Real time face recognition using adaboost improved fast PCA algorithm
K. Susheel KumarVijay Bhaskar SemwalR C Tripathi
2011-08-05
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
| Matthias HeinThomas Bühler
2010-12-03
A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms
Zhouchen LinSiming Wei
2010-12-02
CUR from a Sparse Optimization Viewpoint
Jacob BienYa XuMichael W. Mahoney
2010-12-01
Variational bounds for mixed-data factor analysis
Mohammad E. KhanGuillaume BouchardKevin P. MurphyBenjamin M. Marlin
2010-12-01
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development
Diane HuLaurens MaatenYoungmin ChoSorin LernerLawrence K. Saul
2010-12-01
Classification with Scattering Operators
Joan BrunaStéphane Mallat
2010-11-12
Robust PCA via Outlier Pursuit
| Huan XuConstantine CaramanisSujay Sanghavi
2010-10-20
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices
Zhouchen LinMinming ChenYi Ma
2010-09-26
Rotation Invariant Face Detection Using Wavelet, PCA and Radial Basis Function Networks
S. M. KamruzzamanFiroz Ahmed SiddiqiMd. Saiful IslamMd. Emdadul HaqueMohammad Shamsul Alam
2010-09-25
Optimization over Geodesics for Exact Principal Geodesic Analysis
Stefan SommerFrançois LauzeMads Nielsen
2010-08-11
Extended Two-Dimensional PCA for Efficient Face Representation and Recognition
Mehran SafayaniMohammad T. Manzuri-ShalmaniMahmoud Khademi
2010-04-06
Robust multi-camera view face recognition
Dakshina Ranjan KiskuHunny MehrotraPhalguni GuptaJamuna Kanta Sing
2010-03-30
A new approach to content-based file type detection
M. C. AmiraniM. TooraniA. A. Beheshti
2010-02-17
Probabilistic Relational PCA
Wu-Jun LiDit-Yan YeungZhihua Zhang
2009-12-01
Semi-supervised Learning using Sparse Eigenfunction Bases
Kaushik SinhaMikhail Belkin
2009-12-01
Structured Sparse Principal Component Analysis
Rodolphe JenattonGuillaume ObozinskiFrancis Bach
2009-09-08
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Yuhong Guo
2008-12-01
Reducing statistical dependencies in natural signals using radial Gaussianization
Siwei LyuEero P. Simoncelli
2008-12-01
Deflation Methods for Sparse PCA
Lester W. Mackey
2008-12-01
Bayesian Exponential Family PCA
Shakir MohamedZoubin GhahramaniKatherine A. Heller
2008-12-01
Robust Kernel Principal Component Analysis
Minh H. NguyenFernando Torre
2008-12-01
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
Dongryeol LeeAlexander G. Gray
2008-12-01
Configuration Estimates Improve Pedestrian Finding
Duan TranDavid A. Forsyth
2007-12-01
R 1 -PCA: Rotational Invariant L 1 -norm Principal Component Analysis for Robust Subspace Factorization
Chris Ding ,Ding Zhou ,Xiaofeng He ,Hongyuan Zha
2006-06-01

Tasks

TASK PAPERS SHARE
Dimensionality Reduction 121 28.21%
Matrix Completion 20 4.66%
Face Recognition 20 4.66%
Feature Selection 18 4.20%
Time Series 15 3.50%
Denoising 13 3.03%
Image Classification 11 2.56%
unsupervised learning 10 2.33%
Anomaly Detection 8 1.86%

Components

COMPONENT TYPE
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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