Bounded Asymmetrical Student's-t Mixture Model
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[1] Nikolas P. Galatsanos,et al. Robust Image Segmentation with Mixtures of Student's t-Distributions , 2007, 2007 IEEE International Conference on Image Processing.
[2] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[3] Q. M. Jonathan Wu,et al. A Nonsymmetric Mixture Model for Unsupervised Image Segmentation , 2013, IEEE Transactions on Cybernetics.
[4] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[5] Q. M. Jonathan Wu,et al. An Extension of the Standard Mixture Model for Image Segmentation , 2010, IEEE Transactions on Neural Networks.
[6] W. Rudin. Real and complex analysis , 1968 .
[7] Jan Skoglund,et al. Vector quantization based on Gaussian mixture models , 2000, IEEE Trans. Speech Audio Process..
[8] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[9] Geoffrey J. McLachlan,et al. Robust mixture modelling using the t distribution , 2000, Stat. Comput..
[10] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[11] Jitendra Malik,et al. Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Andrew R. Webb,et al. Statistical Pattern Recognition , 1999 .
[13] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[14] Jonas Samuelsson,et al. Bounded support Gaussian mixture modeling of speech spectra , 2003, IEEE Trans. Speech Audio Process..
[15] Nizar Bouguila,et al. Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection , 2010, IEEE Transactions on Circuits and Systems for Video Technology.
[16] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[17] Mohand Saïd Allili,et al. Wavelet Modeling Using Finite Mixtures of Generalized Gaussian Distributions: Application to Texture Discrimination and Retrieval , 2012, IEEE Transactions on Image Processing.
[18] Koenraad Van Leemput,et al. Automated model-based tissue classification of MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[19] Reza Nezafat,et al. Wavelet-Domain Medical Image Denoising Using Bivariate Laplacian Mixture Model , 2009, IEEE Transactions on Biomedical Engineering.
[20] Nizar Bouguila,et al. Bayesian learning of finite generalized Gaussian mixture models on images , 2011, Signal Process..
[21] Q. M. Jonathan Wu,et al. Robust Student's-t Mixture Model With Spatial Constraints and Its Application in Medical Image Segmentation , 2012, IEEE Transactions on Medical Imaging.
[22] Nizar Bouguila,et al. Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation , 2007, Fourth Canadian Conference on Computer and Robot Vision (CRV '07).
[23] Martin J. Wainwright,et al. Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..
[24] Salvatore Tabbone,et al. Asymmetric Generalized Gaussian Mixture Models and EM Algorithm for Image Segmentation , 2010, 2010 20th International Conference on Pattern Recognition.
[25] D. Rubin,et al. ML ESTIMATION OF THE t DISTRIBUTION USING EM AND ITS EXTENSIONS, ECM AND ECME , 1999 .
[26] Anil K. Jain,et al. Unsupervised Learning of Finite Mixture Models , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[27] G. McLachlan,et al. The EM algorithm and extensions , 1996 .
[28] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[29] Martial Hebert,et al. A Measure for Objective Evaluation of Image Segmentation Algorithms , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.