Bilevel model-based discriminative dictionary learning for recognition

Most supervised dictionary learning methods optimize the combinations of reconstruction error, sparsity prior, and discriminative terms. Thus, the learnt dictionaries may not be optimal for recognition tasks. Also, the sparse codes learning models in the training and the testing phases are inconsist...

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Bibliographic Details
Main Authors: ZHOU, Pan, ZHANG, Chao, LIN Zhouchen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/8967
https://ink.library.smu.edu.sg/context/sis_research/article/9970/viewcontent/2016_TIP_bilevel.pdf
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Institution: Singapore Management University
Language: English
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