Collaborative representation Bayesian face recognition

In recent years,a series of subspace methods,named the collaborative representation based methods,have aroused researchers’interests.Inspired by the idea of sparse coding,Wright et al.proposed the sparse representation based classification（SRC）method.SRC encodes a query sample as a linear combinatio...

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Bibliographic Details
Published in:	Science China. Information sciences Vol. 60; no. 4; pp. 228 - 230
Main Authors:	Feng, Jufu, Ma, Xiao, Zhuang, Wenjing
Format:	Journal Article
Language:	English
Published:	Beijing Science China Press 01-04-2017 Springer Nature B.V
Subjects:	Classification Collaboration Computer Science Dictionaries Face recognition Highlight Information Systems and Communication Service Norms Sparsity SRC 人脸识别协同子空间方法稀疏表示线性组合编码算法贝叶斯贝叶斯残差模型类间差类内差脸识别协同表示小样本问题
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Summary:	In recent years,a series of subspace methods,named the collaborative representation based methods,have aroused researchers’interests.Inspired by the idea of sparse coding,Wright et al.proposed the sparse representation based classification（SRC）method.SRC encodes a query sample as a linear combination of all subjects’training samples with sparsity constraint and then classifies it by evaluating which class has the minimal coding residual.
Bibliography:	11-5847/TP In recent years,a series of subspace methods,named the collaborative representation based methods,have aroused researchers’interests.Inspired by the idea of sparse coding,Wright et al.proposed the sparse representation based classification（SRC）method.SRC encodes a query sample as a linear combination of all subjects’training samples with sparsity constraint and then classifies it by evaluating which class has the minimal coding residual.
ISSN:	1674-733X 1869-1919
DOI:	10.1007/s11432-015-0799-4