72 search results - page 11 / 15 » Margin-based discriminant dimensionality reduction for visua... |
100
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ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
107
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PAMI
2008
14 years 11 months ago
2008
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We show that histograms of keypoint descriptor distances can make useful features for visual recognition. Descriptor distances are often exhaustively computed between sets of keyp...
98
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CRV
2005
IEEE
15 years 5 months ago
2005
IEEE
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
118
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ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...