222 search results - page 16 / 45 » Push-Pull marginal discriminant analysis for feature extract... |
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
A novel framework called 2D Fisher Discriminant Analysis
(2D-FDA) is proposed to deal with the Small Sample
Size (SSS) problem in conventional One-Dimensional Linear
Discriminan...
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
Linear discriminant analysis (LDA) has been successfully applied into computer vision and pattern recognition for effective feature extraction. High-dimensional objects such as im...
ACML
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
ICPR
2008
IEEE
14 years 8 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...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...