MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  (2003)

Download:
Download as a PDF
by Zhihua Zhang A, Chibiao Chen A, Jian Sun B, Kap Luk Chan A
http://www.cs.ust.hk/~zhzhang/papers/prmixture.pdf
Add To MetaCart

Abstract:

www.elsevier.com/locate/patcog EMalgorithms for Gaussian mixtures with split-and-merge operation

Citations

4344 Maximum likelihood from incomplete data via the EM algorithm – Dempster, Laird, et al. - 1977
3051 Neural Networks for Pattern Recognition – Bishop - 1995
718 Pattern recognition and neural networks – Ripley - 1996
593 Hierarchical Mixtures of Experts and the EM algorithm – Jordan, Jacobs - 1993
505 The EM Algorithm and Extensions – McLachlan, Krishnan - 1996
398 Reversible jump Markov chain Monte Carlo computation and Bayesian model determination – Green - 1995
374 Mixture densities, maximum likelihood and the em algorithm – Redner, Walker - 1984
347 Finite Mixture Models – McLachlan, Peel - 2000
244 On Bayesian Analysis of Mixtures with an Unknown Number of Components – Richardson, Green
207 Markov Random Field Modeling in Computer Vision – Li - 1995
92 Variational inference for Bayesian mixtures of factor analysers – Ghahramani, Beal - 1999
87 Image segmentation by data driven markov chain monte carlo – Tu, Zhu, et al. - 2001
70 Rival penalized competitive learning for clustering analysis, RBF net, and curve detection – Xu, Krzyzak, et al. - 1993
67 SMEM Algorithm for Mixture Models – Ueda, Nakano, et al. - 2000
59 Bayesian approaches to Gaussian mixture modeling – Roberts, Husmeier, et al. - 1998
16 Robust full Bayesian learning for radial basis networks – Andrieu, Freitas, et al. - 2001
13 Pattern Classi cation, 2nd Edition – Duda, Hart, et al. - 2001
9 Asymptotic convergence rate of the EM algorithm for gaussian mixtures – Ma, Xu, et al.
4 A data-driven Bayesian sampling scheme for unsupervised image segmentation – Clark, Quinn - 1999
3 A novel probabilistic model for object recognition and pose estimation – Niemann, Hornegger - 2001
2 Vector Quantization, Cluster Number Selection and The EM Algorithms – Xu - 1995
2 Unsupervised learning of nite mixture models – Figueiredo, Jain - 2002
1 On convergence properties for the EM algorithm – Xu, Jordan - 1996
1 Integrating bottom-up for object recognition by data driven Markov chain Monte Carlo – Zhu, Zhang, et al. - 2000
1 On-line model selection based on the variational Bayes, Neural Comput. 13 (7) (2001) 1649–1681. About the author—Dr. ZHIHUA ZHANG received his B.S. degree in applied mathematics from Chengdu University of Technology of China in 1991, his MS degree in nume – Sato - 1999