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11 papers · 1 filter
A sparsity augmented probabilistic collaborative representation based classification method
Xiao-Yun Cai, He-Feng Yin
In order to enhance the performance of image recognition, a sparsity augmented probabilistic collaborative representation based classification (SA-ProCRC) method is presented. The…
2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm
Xing Liu, Xiao-Jun Wu, Zi-Qi Li
In this paper, two novel methods: 2DR1-PCA and 2DL1-PCA are proposed for face recognition. Compared to the traditional 2DPCA algorithm, 2DR1-PCA and 2DL1-PCA are based on the R1 no…
Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering
Kai Xu, Xiao-Jun Wu, Wen-Bo Hu
Based on further studying the low-rank subspace clustering (LRSC) and L2-graph subspace clustering algorithms, we propose a F-graph subspace clustering algorithm with a symmetric c…
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.…