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Information criteria performance for feature selection
2011
2011 4th International Congress on Image and Signal Processing
This paper shows the information criteria (IC) performances in feature selection framework. Feature selection aims to select a representative subset among a wide set of features. We apply this approach to classify an hand segmented image. The performance is tested using various feature selection schemes (SFS, SBS, SFFS and SBFS) to select the candidate subsets. The accuracy of the approach is based on a good quality of the joint probability density approximation of the combined features. They
doi:10.1109/cisp.2011.6100275
fatcat:fjyugikfxfhdhccc62st7mowtq