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https://doi.org/10.1109/ICPR.2010.175
Title: | Sparse representation classifier steered discriminative projection | Authors: | Yang, J. Chu, D. |
Keywords: | Classifier Feature extraction Sparse representation |
Issue Date: | 2010 | Citation: | Yang, J.,Chu, D. (2010). Sparse representation classifier steered discriminative projection. Proceedings - International Conference on Pattern Recognition : 694-697. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.2010.175 | Abstract: | The sparse representation-based classifier (SRC) has been developed and shows great potential for pattern classification. This paper aims to gain a discriminative projection such that SRC achieves the optimum performance in the projected pattern space. We use the decision rule of SRC to steer the design of a dimensionality reduction method, which is coined the sparse representation classifier steered discriminative projection (SRC-DP). SRC-DP matches SRC optimally in theory. Experiments are done on the AR and extended Yale B face image databases, and results show the proposed method is more effective than other dimensionality reduction methods with respect to the sparse representation-based classifier. © 2010 IEEE. | Source Title: | Proceedings - International Conference on Pattern Recognition | URI: | http://scholarbank.nus.edu.sg/handle/10635/104633 | ISBN: | 9780769541099 | ISSN: | 10514651 | DOI: | 10.1109/ICPR.2010.175 |
Appears in Collections: | Staff Publications |
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