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136
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ICMCS
2006
IEEE
15 years 8 months ago
2006
IEEE
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
127
Voted
AE
2007
Springer
15 years 8 months ago
2007
Springer
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
101
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
We consider feature selection in the semi-supervised learning setting. This problem is rarely addressed in the literature. We propose a new algorithm as a natural extension of the...
122
Voted
RSFDGRC
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
144
Voted
CCIA
2005
Springer
15 years 4 months ago
2005
Springer
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...