81 search results - page 10 / 17 » Multi-Class Linear Feature Extraction by Nonlinear PCA |
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ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-processing, are considered. The filters used are Laws' masks, filters deriv...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper we present the face recognition method using feature-level fusion where the infrared (IR) and visible face images are fused at transformed domain. The main contribut...
IJON
2007
14 years 9 months ago
2007
Experimental and computational studies suggest that complex motor behavior is based on simpler spatiotemporal primitives, or synergies. This has been demonstrated by application o...
JCP
2008
14 years 9 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
ICIP
2008
IEEE
15 years 4 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...