Semi-supervised minimum redundancy maximum relevance feature selection for audio classification

Xu -Kui Yang; Liang He; Dan Qu; Wei-Qiang Zhang

doi:10.1007/s11042-016-4287-0

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Semi-supervised minimum redundancy maximum relevance feature selection for audio classification

Xu -Kui Yang Liang He Dan Qu Wei-Qiang Zhang

Year: 2016 Journal: Multimedia Tools and Applications Vol: 77 (1)Pages: 713-739 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-016-4287-0

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Keywords:

Bhattacharyya distance Computer science Feature selection Redundancy (engineering) Pattern recognition (psychology) Artificial intelligence Feature (linguistics) Minimum redundancy feature selection Relevance (law) Machine learning Data mining

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Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Advanced Chemical Sensor Technologies

Physical Sciences → Engineering → Biomedical Engineering

Semi-supervised minimum redundancy maximum relevance feature selection for audio classification

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