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ECCV
2008
Springer

Discriminative Locality Alignment

10 years 2 months ago
Discriminative Locality Alignment
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing process of B-SNMF are much faster than those of binary principal component analysis (B-PCA). Besides, B-SNMF is more robust to occlusions in images. Experimental results on face images demonstrate the effectiveness and the efficiency of the proposed B-SNMF.
Tianhao Zhang, Dacheng Tao, Jie Yang
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2008
Where ECCV
Authors Tianhao Zhang, Dacheng Tao, Jie Yang
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