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Robust joint representation with triple local feature for face recognition with single sample per person Journal article
Knowledge-Based Systems, 2019,Volume: 181
Authors:  Wang,Xing;  Zhang,Bob;  Yang,Meng;  Ke,Kangyin;  Zheng,Weishi
Favorite |  | TC[WOS]:4 TC[Scopus]:3 | Submit date:2021/03/11
Face recognition  Robust joint representation  Single sample per person  Triple local feature  
Adaptive weighted nonnegative low-rank representation Journal article
PATTERN RECOGNITION, 2018,Volume: 81,Page: 326-340
Authors:  Wen, Jie;  Zhang, Bob;  Xu, Yong;  Yang, Jian;  Han, Na
Favorite |  | TC[WOS]:44 TC[Scopus]:48 | Submit date:2018/10/30
Low-rank representation  Adaptive weighted matrix  Data clustering  Locality constraint  
Robust constrained concept factorization Book chapter
出自: Studies in Computational Intelligence, 2018, 页码: 207-225
Authors:  Yan,Wei;  Zhang,Bob
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/11
Clustering  Concept factorization  Dimensionality reduction  
Joint distances by sparse representation and locality-constrained dictionary learning for robust leaf recognition Journal article
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017,Volume: 142,Page: 563-571
Authors:  Zeng, Shaoning;  Zhang, Bob;  Du, Yong
Favorite |  | TC[WOS]:6 TC[Scopus]:7 | Submit date:2018/10/30
Sparse representation  Dictionary learning  Feature integration  Leaf image recognition  
Robust semi-supervised concept factorization Conference paper
Proceedings of the International Joint Conference on Neural Networks
Authors:  Yan W.;  Zhang B.;  Ma S.
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2019/04/04
Tree-Structured Nuclear Norm Approximation with Applications to Robust Face Recognition Journal article
IEEE Transactions on Image Processing, 2016,Volume: 25,Issue: 12,Page: 5757-5767
Authors:  Luo L.;  Chen L.;  Yang J.;  Qian J.;  Zhang B.
Favorite |  | TC[WOS]:15 TC[Scopus]:16 | Submit date:2019/04/04
ADMM  face recognition  hierarchical distribution  nuclear norm  restricted isometry property (RIP)  Tree structure