206 search results - page 3 / 42 » An Analysis of Linear Subspace Approaches for Computer Visio... |
140
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ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
Using a novel data dimension reduction method proposed in statistics, we develop an appearance-based face recognition algorithm which is insensitive to large variation in lighting...
138
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher's Criteri...
124
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PR
2006
15 years 4 months ago
2006
This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. Th...
140
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
132
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ICPR
2002
IEEE
16 years 5 months ago
2002
IEEE
Manifold Pursuit (MP) extends Principal Component Analysis to be invariant to a desired group of image-plane transformations of an ensemble of un-aligned images. We derive a simpl...