TY - GEN
T1 - Dictionary pair learning with block-diagonal structure for image classification
AU - Yang, Meng
AU - Luo, Weixin
AU - Shen, Linlin
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Dictionary learning has played an important role in the success of sparse representation. Although several dictionary learning approaches have been developed for image classification, the dictionary pair learning, i.e., jointly learning a synthesis dictionary and an analysis dictionary, is still in its infant stage. In this paper, we proposed a novel model of dictionary pair learning with block-diagonal structure (DPL-BDS), in which a block-diagonal structure of coding coefficient matrix and a block-diagonal structure of analysis dictionary are enforced. With the block-diagonal structures, discrimination of synthesis dictionary representation, coding coefficients and analysis dictionary are introduced into the dictionary pair learning model. An iterative algorithm to efficiently solve the proposed DPL-BDS was presented in this paper. The experiments on face recognition, scene categorization, and action recognition clearly show the advantage of the proposed DPL-BDS.
AB - Dictionary learning has played an important role in the success of sparse representation. Although several dictionary learning approaches have been developed for image classification, the dictionary pair learning, i.e., jointly learning a synthesis dictionary and an analysis dictionary, is still in its infant stage. In this paper, we proposed a novel model of dictionary pair learning with block-diagonal structure (DPL-BDS), in which a block-diagonal structure of coding coefficient matrix and a block-diagonal structure of analysis dictionary are enforced. With the block-diagonal structures, discrimination of synthesis dictionary representation, coding coefficients and analysis dictionary are introduced into the dictionary pair learning model. An iterative algorithm to efficiently solve the proposed DPL-BDS was presented in this paper. The experiments on face recognition, scene categorization, and action recognition clearly show the advantage of the proposed DPL-BDS.
KW - Block-diagonal structure
KW - Dictionary pair learning
KW - Image classification
UR - http://www.scopus.com/inward/record.url?scp=84951819523&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-23989-7_30
DO - 10.1007/978-3-319-23989-7_30
M3 - Conference contribution
AN - SCOPUS:84951819523
SN - 9783319239873
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 288
EP - 299
BT - Intelligence Science and Big Data Engineering
A2 - He, Xiaofei
A2 - Zhou, Zhi-Hua
A2 - Gao, Xinbo
A2 - Liu, Zhi-Yong
A2 - Zhang, Yanning
A2 - Fu, Baochuan
A2 - Hu, Fuyuan
A2 - Zhang, Zhancheng
PB - Springer Verlag
T2 - 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015
Y2 - 14 June 2015 through 16 June 2015
ER -