206 search results - page 8 / 42 » PCA in Autocorrelation Space |
173
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
177
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PAMI
2010
15 years 4 months ago
2010
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
189
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IJON
2007
15 years 5 months ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
142
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ICPR
2010
IEEE
15 years 9 months ago
2010
IEEE
This paper proposes a method for period-based gait trajectory matching in the eigenspace using phase synchronization for low frame-rate videos. First, a gait period is detected by ...
198
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PAMI
2002
15 years 5 months ago
2002
We analyze theoretically the subspace best approximating images of a convex Lambertian object taken from the same viewpoint, but under different distant illumination conditions. Si...