41 search results - page 4 / 9 » Kernel PLS-SVC for Linear and Nonlinear Classification |
ICIP
2001
IEEE
16 years 1 months ago
2001
IEEE
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
111
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ACCV
2007
Springer
15 years 5 months ago
2007
Springer
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
112
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PR
2008
14 years 11 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
100
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CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...