Papers
Estimating Redundancy Information of Selected Features in Multi-dimensional Pattern Classification
International Journal
2011~2015
작성자
이진영
작성일
2011-03-01 14:35
조회
1184
By utilizing the conceptual diagram of the relationship between candidate features, selected features, and class variables, this paper proposes a new criterion to accurately compute the amount of redundancy. Specifically, the redundancy term is estimated by conditional mutual information between selected and candidate features to each class variable, which does not need a cumbersome normalization process as the conventional algorithm does. The proposed algorithm is implemented into a speech/music discrimination system to evaluate classification performance. Experimental results by varying the number of selected features verify that the proposed method shows higher classification accuracy than conventional algorithms.
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