351 search results - page 6 / 71 » Localized empirical discriminant analysis |
CSDA
2004
13 years 7 months ago
2004
The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...
ECCV
2008
Springer
13 years 8 months ago
2008
Springer
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
In the past few years, several research works have addressed the problems posed by vision
JAR
2000
13 years 7 months ago
2000
Local search algorithms are among the standard methods for solving hard combinatorial problems from various areas of Artificial Intelligence and Operations Research. For SAT, some ...