15 citations · 29 across the 15 of their papers we have counts for
9 papers · 1 filter
A Compared Study Between Some Subspace Based Algorithms
Xing Liu, Xiao-Jun Wu, Zhen Liu +1
The technology of face recognition has made some progress in recent years. After studying the PCA, 2DPCA, R1-PCA, L1-PCA, KPCA and KECA algorithms, in this paper ECA (2DECA) is pro…
Research on Clustering Performance of Sparse Subspace Clustering
Wen-Jin Fu, Xiao-Jun Wu, He-Feng Yin +1
Recently, sparse subspace clustering has been a valid tool to deal with high-dimensional data. There are two essential steps in the framework of sparse subspace clustering. One is…
Collaborative representation-based robust face recognition by discriminative low-rank representation
Wen Zhao, Xiao-Jun Wu, He-Feng Yin +1
We consider the problem of robust face recognition in which both the training and test samples might be corrupted because of disguise and occlusion. Performance of conventional sub…
Low-rank representations with incoherent dictionary for face recognition
Pei Xie, He-Feng Yin, Xiao-Jun Wu
Face recognition remains a hot topic in computer vision, and it is challenging to tackle the problem that both the training and testing images are corrupted. In this paper, we prop…
Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning
He-Feng Yin, Xiao-Jun Wu, Josef Kittler
Face recognition has been widely studied due to its importance in smart cities applications. However, the case when both training and test images are corrupted is not well solved.…
Learning a Representation with the Block-Diagonal Structure for Pattern Classification
He-Feng Yin, Xiao-Jun Wu, Josef Kittler +1
Sparse-representation-based classification (SRC) has been widely studied and developed for various practical signal classification applications. However, the performance of a SRC-b…
Locality Constraint Dictionary Learning with Support Vector for Pattern Classification
He-Feng Yin, Xiao-Jun Wu, Su-Gen Chen
Discriminative dictionary learning (DDL) has recently gained significant attention due to its impressive performance in various pattern classification tasks. However, the locality…
Class-specific residual constraint non-negative representation for pattern classification
He-Feng Yin, Xiao-Jun Wu
Representation based classification method (RBCM) remains one of the hottest topics in the community of pattern recognition, and the recently proposed non-negative representation b…
Low-Rank Discriminative Least Squares Regression for Image Classification
Zhe Chen, Xiao-Jun Wu, Josef Kittler
Latest least squares regression (LSR) methods mainly try to learn slack regression targets to replace strict zero-one labels. However, the difference of intra-class targets can als…