910 search results - page 122 / 182 » Progressive Principal Component Analysis |
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
ICIAR
2005
Springer
14 years 1 months ago
2005
Springer
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
ICIAR
2005
Springer
14 years 1 months ago
2005
Springer
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is use...
CSB
2003
IEEE
14 years 1 months ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...