期刊论文

Li, Hongfeng

英文

Neurocomputing

0925-2312

2014

144

198-207

10.1016/j.neucom.2014.04.053

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [91330118, 61273244]; University of Macau [MYRG205(Y1-L4)-FST11-TYY, MYRG187(Y1-L3)-FST11-TYY, RDG009/FST-TYY]; Macau FDC Grants [T-100-2012-A3, 026-2013-A]

本校为其他机构

Image classification is a popular and challenging topic in the computer vision field. On the basis of advances in neuroscience, this paper proposes a sparse-based neural response feature extraction method for image classification. The approach extracts discriminative and invariant representations of images by alternating between non-negative sparse coding and maximum pooling operation with effectiveness. Additionally, effective template selection methods are proposed to further enhance the performance of the algorithm. In comparison with traditional hierarchical methods, our proposed model acc...