Search Results for author: Yanfeng Sun

Found 19 papers, 2 papers with code

DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations

1 code implementation28 Jan 2024 Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, BaoCai Yin

To obtain a more comprehensive embedding representation of nodes, a novel GNNs framework, dubbed Decoupled Graph Neural Networks (DGNN), is introduced.

Attribute Graph Embedding +3

Adversarial Privacy-preserving Filter

2 code implementations25 Jul 2020 Jiaming Zhang, Jitao Sang, Xian Zhao, Xiaowen Huang, Yanfeng Sun, Yongli Hu

While widely adopted in practical applications, face recognition has been critically discussed regarding the malicious use of face images and the potential privacy problems, e. g., deceiving payment system and causing personal sabotage.

Adversarial Attack Face Recognition +1

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

no code implementations3 Jul 2017 Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Bao-Cai Yin

Under this expression, the projection base of the model is based on the tensor CandeComp/PARAFAC (CP) decomposition and the number of free parameters in the model only grows linearly with the number of modes rather than exponentially.

Bayesian Inference Clustering +1

Localized LRR on Grassmann Manifolds: An Extrinsic View

no code implementations17 May 2017 Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin

Subspace data representation has recently become a common practice in many computer vision tasks.

Clustering

Locality Preserving Projections for Grassmann manifold

no code implementations27 Apr 2017 Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Bao-Cai Yin

Learning on Grassmann manifold has become popular in many computer vision tasks, with the strong capability to extract discriminative information for imagesets and videos.

Clustering Dimensionality Reduction

Matrix Variate RBM Model with Gaussian Distributions

no code implementations21 Sep 2016 Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Bao-Cai Yin

Restricted Boltzmann Machine (RBM) is a particular type of random neural network models modeling vector data based on the assumption of Bernoulli distribution.

General Classification Image Classification

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications

no code implementations21 Sep 2016 Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Bao-Cai Yin

Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets.

General Classification regression

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance

no code implementations13 Jun 2016 Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin

In multi-camera video surveillance, it is challenging to represent videos from different cameras properly and fuse them efficiently for specific applications such as human activity recognition and clustering.

Clustering Human Activity Recognition

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds

no code implementations21 Jan 2016 Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin

As a significant subspace clustering method, low rank representation (LRR) has attracted great attention in recent years.

Clustering

Kernelized LRR on Grassmann Manifolds for Subspace Clustering

no code implementations9 Jan 2016 Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin

The novelty of this paper is to generalize LRR on Euclidean space onto an LRR model on Grassmann manifold in a uniform kernelized LRR framework.

Clustering

Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition

no code implementations7 Jan 2016 Xinglin Piao, Yongli Hu, Yanfeng Sun, Junbin Gao, Bao-Cai Yin

In a sparse representation based recognition scheme, it is critical to learn a desired dictionary, aiming both good representational power and discriminative performance.

Dictionary Learning

Matrix Variate RBM and Its Applications

no code implementations5 Jan 2016 Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li

In this paper, a Matrix-Variate Restricted Boltzmann Machine (MVRBM) model is proposed by generalizing the classic RBM to explicitly model matrix data.

Handwritten Digit Recognition Image Super-Resolution

Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data

no code implementations2 Jan 2016 Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Zhouchen Lin, Bao-Cai Yin

A new submodule clustering method via sparse and low-rank representation for multi-way data is proposed in this paper.

Clustering

Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation

no code implementations7 Dec 2015 Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu

The paper addresses the problem of optimizing a class of composite functions on Riemannian manifolds and a new first order optimization algorithm (FOA) with a fast convergence rate is proposed.

Matrix Completion

Kernelized Low Rank Representation on Grassmann Manifolds

no code implementations8 Apr 2015 Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Bao-Cai Yin

One of its successful applications is subspace clustering which means data are clustered according to the subspaces they belong to.

Clustering

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

no code implementations7 Apr 2015 Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Bao-Cai Yin

In contrast to existing techniques, we propose a new clustering algorithm that alternates between different modes of the proposed heterogeneous tensor model.

Clustering Tensor Decomposition

Cannot find the paper you are looking for? You can Submit a new open access paper.