Search Results for author: Yun Fu

Found 80 papers, 32 papers with code

LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block

no code implementations ECCV 2020 Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu

Drawing lessons from lattice filter bank, we design the lattice block (LB) in which two butterfly structures are applied to combine two RBs.

Image Super-Resolution

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization

no code implementations22 Jun 2021 Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu

Adaptive gradient methods, such as \textsc{Adam}, have achieved tremendous success in machine learning.

MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network

no code implementations CVPR 2021 Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu

They also fail to sense the entire space of the input, which is critical for high-quality MR image SR. To address those problems, we propose squeeze and excitation reasoning attention networks (SERAN) for accurate MR image SR. We propose to squeeze attention from global spatial information of the input and obtain global descriptors.

Image Super-Resolution

Dynamical Isometry: The Missing Ingredient for Neural Network Pruning

no code implementations12 May 2021 Huan Wang, Can Qin, Yue Bai, Yun Fu

This paper is meant to explain it through the lens of dynamical isometry [42].

Network Pruning

Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning

1 code implementation19 Apr 2021 Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu

This is the so-called semi-supervised domain adaptation (SSDA) problem and the few labeled target samples are termed as ``landmarks''.

Data Augmentation Domain Adaptation

RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks

no code implementations18 Apr 2021 Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu

Contrasted with prior work, this paper provides a complementary solution to align domains by learning the same auxiliary tasks in both domains simultaneously.

Skeleton Aware Multi-modal Sign Language Recognition

2 code implementations16 Mar 2021 Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu

Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort to master.

 Ranked #1 on Sign Language Recognition on AUTSL (using extra training data)

Sign Language Recognition Skeleton Based Action Recognition

Emerging Paradigms of Neural Network Pruning

no code implementations11 Mar 2021 Huan Wang, Can Qin, Yulun Zhang, Yun Fu

In spite of the encouraging progress, how to coordinate these new pruning fashions with the traditional pruning has not been explored yet.

Network Pruning

VINS: Visual Search for Mobile User Interface Design

1 code implementation10 Feb 2021 Sara Bunian, Kai Li, Chaima Jemmali, Casper Harteveld, Yun Fu, Magy Seif El-Nasr

By utilizing this dataset, we propose an object-detection based image retrieval framework that models the UI context and hierarchical structure.

Hierarchical structure Image Retrieval +1

One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision

no code implementations3 Feb 2021 Zaid Khan, Yun Fu

Using the insight that a classifier can learn the racial system encoded by a dataset, we conduct an empirical study of computer vision datasets supplying categorical race labels for face images to determine the cross-dataset consistency and generalization of racial categories.

Fairness

Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts

no code implementations11 Jan 2021 Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister

To address this issue, we introduce a new method for pre-training video action recognition models using queried web videos.

Action Recognition

Neighbor Class Consistency on Unsupervised Domain Adaptation

no code implementations1 Jan 2021 Chang Liu, Kai Li, Yun Fu

Unsupervised domain adaptation (UDA) is to make predictions for unlabeled data in a target domain with labeled data from source domain available.

Image Classification Unsupervised Domain Adaptation

Exploring Sub-Pseudo Labels for Learning from Weakly-Labeled Web Videos

no code implementations1 Jan 2021 Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Yun Fu, Tomas Pfister

To address this issue, we introduce a new method for pre-training video action recognition models using queried web videos.

Action Recognition

Aspect-based Sentiment Classification via Reinforcement Learning

no code implementations1 Jan 2021 Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu

As texts always contain a large proportion of task-irrelevant words, accurate alignment between aspects and their sentimental descriptions is the most crucial and challenging step.

General Classification Sentiment Analysis

Multimodal In-bed Pose and Shape Estimation under the Blankets

no code implementations12 Dec 2020 Yu Yin, Joseph P. Robinson, Yun Fu

Typically, humans are covered by a blanket when resting, for which we propose a multimodal approach to uncover the subjects so their bodies at rest can be viewed without the occlusion of the blankets above.

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis

no code implementations7 Dec 2020 Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu

Even as impressive milestones are achieved in synthesizing faces, the importance of preserving identity is needed in practice and should not be overlooked.

Face Generation Super-Resolution

Multi-head Knowledge Distillation for Model Compression

no code implementations5 Dec 2020 Huan Wang, Suhas Lohit, Michael Jones, Yun Fu

We add loss terms for training the student that measure the dissimilarity between student and teacher outputs of the auxiliary classifiers.

Image Classification Knowledge Distillation +1

Knowledge Distillation Thrives on Data Augmentation

no code implementations5 Dec 2020 Huan Wang, Suhas Lohit, Michael Jones, Yun Fu

In addition, when our approaches are combined with more advanced distillation losses, we can advance the state-of-the-art performance even more.

Active Learning Data Augmentation +1

Learning to Mutate with Hypergradient Guided Population

no code implementations NeurIPS 2020 Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu

Computing the gradient of model hyperparameters, i. e., hypergradient, enables a promising and natural way to solve the hyperparameter optimization task.

Hyperparameter Optimization

Collaborative Attention Mechanism for Multi-View Action Recognition

no code implementations14 Sep 2020 Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu

Extensive experiments on four action datasets illustrate the proposed CAM achieves better results for each view and also boosts multi-view performance.

Action Recognition Representation Learning

Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection

1 code implementation ECCV 2020 Shuhan Chen, Yun Fu

In this paper, we aim to develop an efficient and compact deep network for RGB-D salient object detection, where the depth image provides complementary information to boost performance in complex scenarios.

RGB-D Salient Object Detection RGB Salient Object Detection +1

Families In Wild Multimedia (FIW MM): A Multi-Modal Database for Recognizing Kinship

no code implementations28 Jul 2020 Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu

Thus, to narrow the gap between research and reality and enhance the power of kinship recognition systems, we extend FIW with multimedia (MM) data (i. e., video, audio, and text captions).

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

no code implementations29 Jun 2020 Joseph P. Robinson, Ming Shao, Yun Fu

We review the public resources and data challenges that enabled and inspired many to hone-in on the views of automatic kinship recognition in the visual domain.

Gesture Recognition

Neural Sparse Representation for Image Restoration

1 code implementation NeurIPS 2020 Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang

Inspired by the robustness and efficiency of sparse representation in sparse coding based image restoration models, we investigate the sparsity of neurons in deep networks.

Image Compression Image Denoising +2

HyperSTAR: Task-Aware Hyperparameters for Deep Networks

no code implementations CVPR 2020 Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu

To reduce HPO time, we present HyperSTAR (System for Task Aware Hyperparameter Recommendation), a task-aware method to warm-start HPO for deep neural networks.

Hyperparameter Optimization Image Classification

Inductive and Unsupervised Representation Learning on Graph Structured Objects

no code implementations ICLR 2020 Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu

Inductive and unsupervised graph learning is a critical technique for predictive or information retrieval tasks where label information is difficult to obtain.

Graph Learning Graph Similarity +2

Pyramid Attention Networks for Image Restoration

2 code implementations28 Apr 2020 Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi

Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locations and scales.

Demosaicking Image Denoising +1

Learnable Subspace Clustering

1 code implementation9 Apr 2020 Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu

This paper studies the large-scale subspace clustering (LSSC) problem with million data points.

Adversarial Feature Hallucination Networks for Few-Shot Learning

no code implementations CVPR 2020 Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu

The recent flourish of deep learning in various tasks is largely accredited to the rich and accessible labeled data.

Data Augmentation Few-Shot Learning

Cross-Domain Document Object Detection: Benchmark Suite and Method

1 code implementation CVPR 2020 Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu

We establish a benchmark suite consisting of different types of PDF document datasets that can be utilized for cross-domain DOD model training and evaluation.

Object Detection

Generative Partial Multi-View Clustering

no code implementations29 Mar 2020 Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

Nowadays, with the rapid development of data collection sources and feature extraction methods, multi-view data are getting easy to obtain and have received increasing research attention in recent years, among which, multi-view clustering (MVC) forms a mainstream research direction and is widely used in data analysis.

Imputation

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

3 code implementations CVPR 2020 Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu

Rather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal interpolation network.

Space-time Video Super-resolution Video Frame Interpolation +1

Dual-Attention GAN for Large-Pose Face Frontalization

1 code implementation17 Feb 2020 Yu Yin, Songyao Jiang, Joseph P. Robinson, Yun Fu

Face frontalization provides an effective and efficient way for face data augmentation and further improves the face recognition performance in extreme pose scenario.

Data Augmentation Face Generation +2

Face Recognition: Too Bias, or Not Too Bias?

1 code implementation16 Feb 2020 Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner

Thus, the conventional approach of learning a global threshold for all pairs resulting in performance gaps among subgroups.

Face Recognition

Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge

1 code implementation15 Feb 2020 Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu

Recognizing Families In the Wild (RFIW): an annual large-scale, multi-track automatic kinship recognition evaluation that supports various visual kin-based problems on scales much higher than ever before.

Gesture Recognition Platform

Contradictory Structure Learning for Semi-supervised Domain Adaptation

no code implementations6 Feb 2020 Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu

Current adversarial adaptation methods attempt to align the cross-domain features, whereas two challenges remain unsolved: 1) the conditional distribution mismatch and 2) the bias of the decision boundary towards the source domain.

Domain Adaptation

Texture Hallucination for Large-Factor Painting Super-Resolution

no code implementations ECCV 2020 Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu

We aim to super-resolve digital paintings, synthesizing realistic details from high-resolution reference painting materials for very large scaling factors (e. g., 8X, 16X).

Image Reconstruction Image Super-Resolution

Lifelong Spectral Clustering

no code implementations27 Nov 2019 Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu

As a new spectral clustering task arrives, L2SC firstly transfers knowledge from both basis library and feature library to obtain encoding matrix, and further redefines the library base over time to maximize performance across all the clustering tasks.

Correlative Channel-Aware Fusion for Multi-View Time Series Classification

no code implementations24 Nov 2019 Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu

Multi-view time series classification (MVTSC) aims to improve the performance by fusing the distinctive temporal information from multiple views.

General Classification Time Series +1

Joint Super-Resolution and Alignment of Tiny Faces

1 code implementation19 Nov 2019 Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu

As for SR, the proposed method recovers sharper edges and more details from LR face images than other state-of-the-art methods, which we demonstrate qualitatively and quantitatively.

Super-Resolution

What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer

no code implementations16 Nov 2019 Pengyu Gao, Siyu Xia, Joseph Robinson, Junkang Zhang, Chao Xia, Ming Shao, Yun Fu

Specifically, we propose a two-stage kin-face generation model to predict the appearance of a child given a pair of parents.

Face Generation

PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation

1 code implementation NeurIPS 2019 Can Qin, Haoxuan You, Lichen Wang, C. -C. Jay Kuo, Yun Fu

Specifically, most general-purpose DA methods that struggle for global feature alignment and ignore local geometric information are not suitable for 3D domain alignment.

Unsupervised Domain Adaptation

LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution

no code implementations25 Oct 2019 Bin Sun, Jun Li, Ming Shao, Yun Fu

To reduce the computation and memory costs, we propose a novel lightweight deep learning module by low-rank pointwise residual (LPR) convolution, called LPRNet.

Face Alignment Image Classification +1

Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network

no code implementations25 Oct 2019 Bin Sun, Ming Shao, Siyu Xia, Yun Fu

To accelerate the model, we propose an efficient network structure to accelerate the evolutionary learning process through a factorization strategy.

Face Alignment Face Recognition

Generative One-Shot Face Recognition

no code implementations28 Sep 2019 Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu

Specifically, we target at building a more effective general face classifier for both normal persons and one-shot persons.

Face Recognition One-Shot Learning +1

Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective

1 code implementation ICCV 2019 Kai Li, Martin Renqiang Min, Yun Fu

We instead reformulate ZSL as a conditioned visual classification problem, i. e., classifying visual features based on the classifiers learned from the semantic descriptions.

General Classification Zero-Shot Learning

Visual Semantic Reasoning for Image-Text Matching

1 code implementation ICCV 2019 Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu

It outperforms the current best method by 6. 8% relatively for image retrieval and 4. 8% relatively for caption retrieval on MS-COCO (Recall@1 using 1K test set).

Cross-Modal Retrieval Image Retrieval +1

Large Scale Incremental Learning

2 code implementations CVPR 2019 Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Yun Fu

We believe this is because of the combination of two factors: (a) the data imbalance between the old and new classes, and (b) the increasing number of visually similar classes.

Incremental Learning

EV-Action: Electromyography-Vision Multi-Modal Action Dataset

1 code implementation20 Apr 2019 Lichen Wang, Bin Sun, Joseph Robinson, Taotao Jing, Yun Fu

To make up this, we introduce a new, large-scale EV-Action dataset in this work, which consists of RGB, depth, electromyography (EMG), and two skeleton modalities.

Action Recognition Electromyography (EMG) +1

Rethinking Classification and Localization for Object Detection

1 code implementation CVPR 2020 Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu

Two head structures (i. e. fully connected head and convolution head) have been widely used in R-CNN based detectors for classification and localization tasks.

General Classification Object Detection

Multimodal Style Transfer via Graph Cuts

2 code implementations ICCV 2019 Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang

An assumption widely used in recent neural style transfer methods is that image styles can be described by global statics of deep features like Gram or covariance matrices.

Style Transfer

Laplace Landmark Localization

no code implementations ICCV 2019 Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, and Sergey Tulyakov

Our method claims state-of-the-art on all of the 300W benchmarks and ranks second-to-best on the Annotated Facial Landmarks in the Wild (AFLW) dataset.

Facial Landmark Detection

Residual Non-local Attention Networks for Image Restoration

2 code implementations ICLR 2019 Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu

To address this issue, we design local and non-local attention blocks to extract features that capture the long-range dependencies between pixels and pay more attention to the challenging parts.

Demosaicking Image Denoising +1

Representative Task Self-selection for Flexible Clustered Lifelong Learning

no code implementations6 Mar 2019 Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu

Consider the lifelong machine learning paradigm whose objective is to learn a sequence of tasks depending on previous experiences, e. g., knowledge library or deep network weights.

Multi-Task Learning

Segmentation Guided Image-to-Image Translation with Adversarial Networks

1 code implementation6 Jan 2019 Songyao Jiang, Zhiqiang Tao, Yun Fu

Recently image-to-image translation has received increasing attention, which aims to map images in one domain to another specific one.

Image-to-Image Translation Semantic Segmentation

TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

2 code implementations7 Dec 2018 Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu

Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames).

Optical Flow Estimation Video Super-Resolution

Visual Font Pairing

no code implementations19 Nov 2018 Shuhui Jiang, Zhaowen Wang, Aaron Hertzmann, Hailin Jin, Yun Fu

Third, font pairing is an asymmetric problem in that the roles played by header and body fonts are not interchangeable.

Metric Learning

Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection

3 code implementations8 Oct 2018 Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu

Over the years many ellipse detection algorithms spring up and are studied broadly, while the critical issue of detecting ellipses accurately and efficiently in real-world images remains a challenge.

Support Neighbor Loss for Person Re-Identification

1 code implementation18 Aug 2018 Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu

To ensure scalability and separability, a softmax-like function is formulated to push apart the positive and negative support sets.

Person Re-Identification

Human Action Recognition and Prediction: A Survey

no code implementations28 Jun 2018 Yu Kong, Yun Fu

Derived from rapid advances in computer vision and machine learning, video analysis tasks have been moving from inferring the present state to predicting the future state.

Action Recognition Autonomous Driving +1

Predictive Local Smoothness for Stochastic Gradient Methods

no code implementations ICLR 2019 Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu

To address this problem, we propose a simple yet effective method for improving stochastic gradient methods named predictive local smoothness (PLS).

Tell Me Where to Look: Guided Attention Inference Network

1 code implementation CVPR 2018 Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu

Weakly supervised learning with only coarse labels can obtain visual explanations of deep neural network such as attention maps by back-propagating gradients.

Object Localization Semantic Segmentation

Residual Dense Network for Image Super-Resolution

10 code implementations CVPR 2018 Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu

In this paper, we propose a novel residual dense network (RDN) to address this problem in image SR. We fully exploit the hierarchical features from all the convolutional layers.

Color Image Denoising Image Super-Resolution

Incremental Classifier Learning with Generative Adversarial Networks

no code implementations2 Feb 2018 Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Zhengyou Zhang, Yun Fu

To address these problems, we propose (a) a new loss function to combine the cross-entropy loss and distillation loss, (b) a simple way to estimate and remove the unbalance between the old and new classes , and (c) using Generative Adversarial Networks (GANs) to generate historical data and select representative exemplars during generation.

General Classification

Clustering with Outlier Removal

no code implementations5 Jan 2018 Hongfu Liu, Jun Li, Yue Wu, Yun Fu

Then an objective function based Holoentropy is designed to enhance the compactness of each cluster with a few outliers removed.

Outlier Detection

Matching on Balanced Nonlinear Representations for Treatment Effects Estimation

no code implementations NeurIPS 2017 Sheng Li, Yun Fu

Estimating treatment effects from observational data is challenging due to the missing counterfactuals.

Domain Adaptation

Deep Sequential Context Networks for Action Prediction

no code implementations CVPR 2017 Yu Kong, Zhiqiang Tao, Yun Fu

Different from after-the-fact action recognition, action prediction task requires action labels to be predicted from these partially observed videos.

Action Recognition

Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks

no code implementations7 Apr 2016 Joseph P. Robinson, Ming Shao, Yue Wu, Yun Fu

Motivated by the lack of a single, unified dataset for kinship recognition, we aim to provide a dataset that captivates the interest of the research community.

Metric Learning

Temporal Subspace Clustering for Human Motion Segmentation

no code implementations ICCV 2015 Sheng Li, Kang Li, Yun Fu

Subspace clustering is an effective technique for segmenting data drawn from multiple subspaces.

Motion Segmentation Time Series

Bilinear Heterogeneous Information Machine for RGB-D Action Recognition

no code implementations CVPR 2015 Yu Kong, Yun Fu

Rich heterogeneous RGB and depth data are effectively compressed and projected to a learned shared space, in order to reduce noise and capture useful information for recognition.

Action Recognition

Fast Resampling Weighted v-Statistics

no code implementations NeurIPS 2012 Chunxiao Zhou, Jiseong Park, Yun Fu

In this paper, a novel, computationally fast, and alternative algorithm for com- puting weighted v-statistics in resampling both univariate and multivariate data is proposed.

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