16 search results - page 1 / 4 » Regularized Discriminant Analysis, Ridge Regression and Beyo... |
JMLR
2010
12 years 11 months ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
ICPR
2008
IEEE
13 years 10 months ago
2008
IEEE
Two Dimensional Linear Discriminant Analysis (2DLDA) has received much interest in recent years. However, 2DLDA could make pairwise distances between any two classes become signiï...
CSDA
2007
13 years 4 months ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
ICDE
2008
IEEE
14 years 5 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...