Chanchan Qin

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A novel method for face recognition called semi-supervised bi-directional dimensionality reduction (SSBDR) is proposed. Based on semi-supervised learning, domain knowledge in the form of pairwise constraints besides abundant unlabeled examples are available, which specifies whether a pair of instances belong to the same class or not. Compared to the(More)
Compared with gray feature, the Gabor feature is more effective for facial image representation. But in practice, the dimension of a Gabor feature is so high that the computation is prohibitively large. In this paper, We use the two-dimensional principal component analysis???2DPCA???to reduce the dimension and then replace the original gray feature with the(More)
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