588 search results - page 83 / 118 » Computing the Dimension of Linear Subspaces |
131
Voted
CVPR
2003
IEEE
16 years 5 months ago
2003
IEEE
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
139
Voted
CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
121
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We introduce a new framework, namely Tensor Canonical Correlation Analysis (TCCA) which is an extension of classical Canonical Correlation Analysis (CCA) to multidimensional data ...
147
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ICCV
2005
IEEE
16 years 5 months ago
2005
IEEE
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
143
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ICCV
2001
IEEE
16 years 5 months ago
2001
IEEE
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...