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This paper describes a new decision criterion for feature selection (or descriptor selection) and its application to a classification problem. The choice of representation space is essential in the framework of pattern recognition problems, especially when data is sparse, in which case the well-known curse of dimensionality appears inevitably [1]. Our method associates a ranking procedure based on...
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