EM algorithms for Gaussian mixtures with split-and-merge operation
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Zhihua Zhang | Jian Sun | Kap Luk Chan | Chibiao Chen | K. Chan | Jian Sun | Zhihua Zhang | Chibiao Chen
[1] Anil K. Jain,et al. Unsupervised Learning of Finite Mixture Models , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[2] William H. Press,et al. Numerical recipes in C , 2002 .
[3] Nando de Freitas,et al. Robust Full Bayesian Learning for Radial Basis Networks , 2001, Neural Computation.
[4] Harry Shum,et al. Image segmentation by data driven Markov chain Monte Carlo , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[5] Masa-aki Sato,et al. Online Model Selection Based on the Variational Bayes , 2001, Neural Computation.
[6] Heinrich Niemann,et al. A Novel Probabilistic Model for Object Recognition and Pose Estimation , 2001, Int. J. Pattern Recognit. Artif. Intell..
[7] Jinwen Ma,et al. Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures , 2000, Neural Computation.
[8] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[9] Rong Zhang,et al. Integrating bottom-up/top-down for object recognition by data driven Markov chain Monte Carlo , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[10] Geoffrey E. Hinton,et al. SMEM Algorithm for Mixture Models , 1998, Neural Computation.
[11] Zoubin Ghahramani,et al. Variational Inference for Bayesian Mixtures of Factor Analysers , 1999, NIPS.
[12] Anthony Quinn,et al. A data-driven Bayesian sampling scheme for unsupervised image segmentation , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[13] William D. Penny,et al. Bayesian Approaches to Gaussian Mixture Modeling , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[14] P. Green,et al. On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion) , 1997 .
[15] G. McLachlan,et al. The EM algorithm and extensions , 1996 .
[16] B. Ripley. Pattern Recognition and Neural Networks , 1996 .
[17] Michael I. Jordan,et al. On Convergence Properties of the EM Algorithm for Gaussian Mixtures , 1996, Neural Computation.
[18] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[19] Stan Z. Li,et al. Markov Random Field Modeling in Computer Vision , 1995, Computer Science Workbench.
[20] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[21] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[22] Erkki Oja,et al. Rival penalized competitive learning for clustering analysis, RBF net, and curve detection , 1993, IEEE Trans. Neural Networks.
[23] R. Redner,et al. Mixture densities, maximum likelihood, and the EM algorithm , 1984 .
[24] G. Golub. Matrix computations , 1983 .
[25] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[26] David G. Stork,et al. Pattern Classification , 1973 .