A survey of feature selection methods for Gaussian mixture models and hidden Markov models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
http://link.springer.com/content/pdf/10.1007/s10462-017-9581-3.pdf
Reference143 articles.
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3. Allili MS, Bouguila N, Ziou D (2008) Finite general Gaussian mixture modeling and application to image and video foreground segmentation. J Electron Imaging 17(1):013,005–013,005
4. Allili MS, Ziou D, Bouguila N, Boutemedjet S (2010) Image and video segmentation by combining unsupervised generalized Gaussian mixture modeling and feature selection. IEEE Trans Circuits Syst Video Technol 20(10):1373–1377
5. Almuallim H, Dietterich TG (1991) Learning with many irrelevant features. In: AAAI, vol 91. Citeseer, pp 547–552
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