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Feature dimensionality reduction for partial - Berkeley Expert ...

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7. Contin, A., Cavallini, A., Montanari, G.C., Pasini, G., and Puletti, F. (2000),“Artificial intelligence methodology <strong>for</strong> separation and classification of <strong>partial</strong>discharge signals”, Proceedings of IEEE Conference on Electrical Insulation andDielectric Phenomena”, Victoria, Canada, pp522-26.8. Contin, A., Cavallini, A., Montanari, G.C., Pasini, G., and Puletti, F. (2002), “Digitaldetection and fuzzy classification of <strong>partial</strong> discharge signals”, IEEE Transactions onDielectrics and Electrical Insulation, Vol. 9, No. 3, pp335-489. Vapnik, V. (1995), The nature of statistical learning theory, Springer-Verlag, NewYork, 199510. Martinez, A.M. and Kak, A.C. (2001), “PCA versus LDA”, IEEE Transactions onPattern Analysis and Machine Intelligence, Vol. 23, No. 2, pp228-233.

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