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- W2148406321 abstract "A novel approach for the classification of audio signals using Centroid Neural Network with Bhattacharyya kernel (CNN/BK) is evaluated and reported in this paper. The classifier is based on Centroid Neural Network (CNN) and also exploits advantages of the kernel method for mapping input data into a higher dimensional feature space. Extensive experiments and results on a set of audio data demonstrate that the classification scheme based on CNN/BK outperforms CNN and Self-Organizing Map(SOM) that utilize Euclidean distance for their distance measure in terms of classification accuracy." @default.
- W2148406321 created "2016-06-24" @default.
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- W2148406321 date "2009-06-01" @default.
- W2148406321 modified "2023-09-23" @default.
- W2148406321 title "Application of Bhattacharyya kernel-based Centroid Neural Network to the classification of audio signals" @default.
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- W2148406321 doi "https://doi.org/10.1109/ijcnn.2009.5179005" @default.
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