81 search results - page 15 / 17 » Multi-Class Linear Feature Extraction by Nonlinear PCA |
BMCBI
2006
13 years 5 months ago
2006
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
NIPS
2004
13 years 7 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
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CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
ICPR
2006
IEEE
13 years 11 months ago
2006
IEEE
One successful approach to feature extraction in face recognition problems is that of linear discriminant analysis (LDA). We examine an extension of this technique, called angular...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...