5802 search results - page 87 / 1161 » Parallelizing Feature Selection |
CVPR
2005
IEEE
16 years 15 hour ago
2005
IEEE
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
CIBCB
2005
IEEE
15 years 3 months ago
2005
IEEE
Efficient and reliable methods that can find a small sample of informative genes amongst thousands are of great importance. In this area, much research is investigating the combina...
CSDA
2008
14 years 10 months ago
2008
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
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BMCBI
2010
14 years 10 months ago
2010
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...