5802 search results - page 51 / 1161 » Parallelizing Feature Selection |
EVOW
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
PR
2006
14 years 9 months ago
2006
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
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TAL
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
CIKM
2011
Springer
13 years 10 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...