217 search results - page 12 / 44 » Discriminant Analysis with Tensor Representation |
ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
The paper discusses the role of invariance in image processing, specifically the desire to discriminate against unwanted variations in the scene while maintaining the power to tel...
121
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IJON
2010
14 years 8 months ago
2010
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
99
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BMVC
2010
14 years 7 months ago
2010
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...