Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition-Reference-Cited by-同舟云学术

Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition

Published:2011-02 Issue:6 Volume:74 Page:954-961
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chen Xuefeng,Liu Xiabi,Jia Yunde

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. Unsupervised learning of finite mixture models;Figueiredo;IEEE Transactions on Pattern Analysis and Machine Intelligence,2002

2. On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture;McLachlan;Journal of the Royal Statistical Society C,1987

3. Model selection for probabilistic clustering using cross-validated likelihood;Smyth;Statistics and Computing,2000

4. Inference in model-based cluster analysis;Bensmai;Statistics and Computing,2002

5. Multi-sample cluster analysis using Akaike's information criterion;Bozdogan;Annals of the Institute of Statistical Mathematics,1984

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