317 search results - page 10 / 64 » From Transformation-Based Dimensionality Reduction to Featur... |
SSPR
2004
Springer
15 years 2 months ago
2004
Springer
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
102
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CIKM
2000
Springer
15 years 1 months ago
2000
Springer
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
ISDA
2009
IEEE
15 years 4 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
80
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IJON
2010
14 years 6 months ago
2010
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
CCIA
2005
Springer
14 years 11 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...