392 search results - page 4 / 79 » A unified framework for generalized Linear Discriminant Anal... |
JMLR
2010
13 years 3 days 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...
MP
2002
13 years 5 months ago
2002
In this paper we address a general Goal Programming problem with linear objectives, convex constraints, and an arbitrary componentwise nondecreasing norm to aggregate deviations w...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
ICDE
2008
IEEE
14 years 6 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...
SPEECH
1998
13 years 5 months ago
1998
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...