1144 search results - page 33 / 229 » Semi-supervised Discriminant Analysis |
SIAMMAX
2010
13 years 4 months ago
2010
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
CVPR
2005
IEEE
14 years 9 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 4 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 4 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...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...