Feature representation selection based on Classifier Projection Space and Oracle analysis

Abstract

One of the main problems in pattern recognition is obtaining the best set of features to represent the data. In recent years, several feature extraction algorithms have been proposed. However, due to the high degree of variability of the patterns, it is difficult to design a single representation that can capture the complex structure of the data. One… (More)
DOI: 10.1016/j.eswa.2012.12.096

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