1051 search results - page 35 / 211 » An algorithm for the principal component analysis of large d... |
NPL
2006
13 years 8 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
TNN
2008
13 years 8 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
BMCBI
2010
13 years 8 months ago
2010
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
TNN
2008
13 years 8 months ago
2008
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
ACCV
2006
Springer
14 years 2 months ago
2006
Springer
We developed a system including two modules: the texture analysis module and the texture synthesis module. The analysis module is capable of analyzing an input image and performing...