588 search results - page 49 / 118 » Computing the Dimension of Linear Subspaces |
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ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
120
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ICMLA
2007
15 years 5 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
152
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CVPR
2001
IEEE
16 years 5 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
120
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ECCV
2000
Springer
16 years 5 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
138
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ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...