Fuzzy Gaussian Mixture Models
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-662-53692-6_5
Reference51 articles.
1. I. Bilik, J. Tabrikian, and A. Cohen. Gmm-based target classification for ground surveillance doppler radar. Aerospace and Electronic Systems, IEEE Transactions on, 42(1):267–278, Jan. 2006.
2. S.C. Kim and T.J. Kang. Texture classification and segmentation using wavelet packet frame and Gaussian mixture model. Pattern Recognition, 40(4):1207–1221, 2007.
3. J. H. Song, K. H. Lee, J. H. Chang, J. K. Kim, and N. S. Kim. Analysis and improvement of speech/music classification for 3gpp2 smv based on gmm. Signal Processing Letters, IEEE, 15:103–106, 2008.
4. M. H. Siu, X. Yang, and H. Gish. Discriminatively trained gmms for language classification using boosting methods. IEEE Transactions on Audio, Speech, and Language Processing, 17(1):187–197, Jan. 2009.
5. Z. David, J. Samuelsson, and M. Nilsson. On entropy-constrained vector quantization using gaussian mixture models. IEEE Transactions on Communications, 56(12):2094–2104, 2008.
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