Maximum entropy regularized group collaborative representation for face recognition

While sparse representation is heavily emphasized in many recent literatures, the importance of collaborative representation is usually ignored. In this paper, we exploit the advantage of collaborative representation and propose a maximum entropy regularized group collaborative representation (MECR)...

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Vydané v:	2015 IEEE International Conference on Image Processing (ICIP) s. 291 - 295
Hlavní autori:	Zhong Zhao, Guocan Feng, Lifang Zhang, Jiehua Zhu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2015
Predmet:	Collaboration Collaborative representation Computational modeling Encoding Entropy Face face recognition group structure maximum entropy principle Training
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