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120
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JMLR
2010
14 years 9 months ago
2010
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
132
Voted
ICPR
2002
IEEE
16 years 3 months ago
2002
IEEE
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
107
Voted
IDEAL
2004
Springer
15 years 8 months ago
2004
Springer
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a...
125
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
119
Voted
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...