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» Feature Subset Selection Using a Genetic Algorithm
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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 2 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
CDC
2009
IEEE
228views Control Systems» more  CDC 2009»
14 years 26 days ago
A novel algorithm for refinement of vision-based two-view pose estimates
A novel method is developed to obtain a refined estimate of relative position and orientation (pose) from two views captured by a calibrated monocular camera. Due to the typically ...
Siddhartha S. Mehta, Prabir Barooah, Sara Susca, W...
CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 8 months ago
Resampling methods for parameter-free and robust feature selection with mutual information
Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time...
Damien François, Fabrice Rossi, Vincent Wer...
ECIR
2011
Springer
13 years 12 days ago
Combination of Feature Selection Methods for Text Categorisation
Feature selection plays a vital role in text categorisation. A range of different methods have been developed, each having unique properties and selecting different features. We ...
Robert Neumayer, Rudolf Mayer, Kjetil Nørv&...
ICPR
2004
IEEE
14 years 10 months ago
Robust Feature Matching Across Widely Separated Color Images
We present a novel method for feature matching across widely separated color images. The proposed approach is robust and can support various correspondence based algorithms e.g. t...
Alexander Kaplan, Ehud Rivlin, Ilan Shimshoni