Search results for "Mixture"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
57	Yuting Qi, John William Paisley, Lawrence Carin	Music Analysis Using Hidden Markov Mixture Models.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
56	Paul Fearnhead	Direct simulation for discrete mixture distributions.	Stat. Comput.	2005	DBLP DOI BibTeX RDF	Bayesian model choice, binomial mixture, genetic linkage, Markov-dependent mixtures, Poisson mixture, particle filters, Forward-Backward algorithm
53	Eveline J. Bellegarda, Jerome R. Bellegarda, David Nahamoo, Krishna Nathan	A Fast Statistical Mixture Algorithm for On-Line Handwriting Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	fast statistical mixture algorithm, unconstrained handwriting, cursively written word fragments, discretely written characters, probabilistic framework, front-end processor, frame representation, Gaussian K-means clustering, 81-character alphabet, writer-dependent recognition, writer-independent recognition, frame-based processing, mixture output distributions, complexity, information theory, information theory, statistical analysis, handwriting recognition, statistical modeling, mixture modeling, feature spaces, feature vectors, elastic matching, online operation, online handwriting recognition
52	Yungtai Lo	A likelihood ratio test of a homoscedastic normal mixture against a heteroscedastic normal mixture.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Normal mixture, EM algorithm, Bootstrap, Likelihood ratio test
52	Vladimir Pavlovic 0001	Model-Based Motion Clustering Using Boosted Mixture Modeling.	CVPR (1)	2004	DBLP DOI BibTeX RDF
51	Nizar Bouguila, Djemel Ziou	High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	generalized Dirichlet mixture, LEC, image database summarization, webmining, information theory, data clustering, MDL, EM, Finite mixture models, MML, AIC
49	Lei Li, Jinwen Ma	A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Parameter estimation, EM algorithm, Model selection, Gaussian mixture, Bayesian Ying-Yang (BYY) harmony learning
49	Yudi Agusta, David L. Dowe	Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF	Intrinsic Classification, Numerical Taxonomy, Clustering, Machine Learning, Classification, Information Theory, Mixture Modelling, Statistical Inference, Unsupervised Classification, Knowledge Discovery and Data Mining, MML, Minimum Message Length
48	Manuel Rodríguez Álvarez, Carlos García Puntonet, Ignacio Rojas	Separation of Sources Based on the Partitioning of the Space of Observations.	IWANN (2)	2001	DBLP DOI BibTeX RDF	Blind Separation of Sources, Mixture Matrix, Linear Mixture of Sources, Space of Observations
46	Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, ChengXiang Zhai	Topic sentiment mixture: modeling facets and opinions in weblogs.	WWW	2007	DBLP DOI BibTeX RDF	topic-sentiment mixture, mixture model, topic models, weblogs, sentiment analysis
45	Luo Si, Rong Jin 0001	Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis.	PAKDD	2005	DBLP DOI BibTeX RDF
44	Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka	Learning correlations using the mixture-of-subsets model.	ACM Trans. Knowl. Discov. Data	2008	DBLP DOI BibTeX RDF	EM algorithm, Mixture modeling, high-dimensional data
44	Zhiwu Lu 0001	Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection.	Neural Process. Lett.	2007	DBLP DOI BibTeX RDF	model selection, Gaussian mixture, competitive learning, regularization theory
44	Younhee Ko, Chengxiang Zhai, Sandra L. Rodriguez-Zas	Inference of Gene Pathways Using Gaussian Mixture Models.	BIBM	2007	DBLP DOI BibTeX RDF	Bayesian networks, mixture model, microarray, Bayesian Information Criterion
44	Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas	Bayesian Feature and Model Selection for Gaussian Mixture Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	variational training, feature selection, Mixture models, model selection, Bayesian approach
43	Yee Leung, Jiancheng Luo, Jiang-Hong Ma, Dongping Ming	A New Method for Feature Mining in Remotely Sensed Images.	GeoInformatica	2006	DBLP DOI BibTeX RDF	feature mining, regression-class mixture decomposition, genetic algorithm, mixture modeling, remotely sensed image
42	Sang-Youn Lee, Hyun-Chul Kim, Daijin Kim 0001, YoungSik Choi	Face Retrieval Using 1st- and 2nd-order PCA Mixture Model.	ICCSA (2)	2003	DBLP DOI BibTeX RDF
41	Sylvia Frühwirth-Schnatter, Rudolf Frühwirth, Leonhard Held, Håvard Rue	Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Binomial data, Count data, log-Gamma distribution, Multinomial data, Negative binomial distribution, Gaussian mixture, Finite mixture models
41	Kert Viele, Barbara Tong	Modeling with Mixtures of Linear Regressions.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	hierarchical mixture of experts model, masked outliers
39	Hujun Yin, He Ni	Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series.	ICANN (1)	2009	DBLP DOI BibTeX RDF	mixture autoregressive model, self-organizing map, Time series
39	Grigorios Tzortzis, Aristidis Likas	Convex Mixture Models for Multi-view Clustering.	ICANN (2)	2009	DBLP DOI BibTeX RDF	multi-view learning, clustering, mixture models
39	Zhiwu Lu 0001, Yuxin Peng	A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection.	Neural Process. Lett.	2008	DBLP DOI BibTeX RDF	Entropy regularization, Semi-supervised learning, Model selection, Gaussian mixture, Pairwise constraints
39	Zhijie Ren, Jinwen Ma	BYY Harmony Learning on Weibull Mixture with Automated Model Selection.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Weibull mixture, Automated model selection, Simulated annealing, Parameter learning, Bayesian Ying-Yang (BYY) harmony learning
39	Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou	Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation.	CRV	2007	DBLP DOI BibTeX RDF	mixture of General Gaussians (MoGG), image, motion, foreground segmentation, MML
39	Kerstin Lemke-Rust, Christof Paar	Gaussian Mixture Models for Higher-Order Side Channel Analysis.	CHES	2007	DBLP DOI BibTeX RDF	Higher-Order Analysis, Boolean Masking, Second-Order DPA, EM Algorithm, Gaussian Mixture Models, Templates, Side Channel Cryptanalysis
39	Gérard Govaert, Mohamed Nadif	Fuzzy clustering to estimate the parameters of block mixture models.	Soft Comput.	2006	DBLP DOI BibTeX RDF	Block clustering, CEM algorithm, Fuzzy criterion, EM algorithm, Mixture model
39	Mohand Saïd Allili, Djemel Ziou	An Automatic Segmentation Combining Mixture Analysis and Adaptive Region Information: A Level Set Approach.	CRV	2005	DBLP DOI BibTeX RDF	Mixture analysis, polarity smoothing, level sets, adaptive segmentation
39	Paul Fearnhead	Particle filters for mixture models with an unknown number of components.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	particle filters, Gaussian mixture models, MCMC, Gibbs sampling, Dirichlet process
39	Zikuan Liu, Jalal Almhana, Vartan Choulakian, Robert McGorman	Internet Performance Modeling Using Mixture Dynamical System Models.	ICPS	2004	DBLP DOI BibTeX RDF	Internet performance modeling, mixture dynamical system, EM algorithm, cross-validation
39	Keith Copsey, Andrew Webb	Bayesian Approach to Mixture Models for Discrimination.	SSPR/SPR	2000	DBLP DOI BibTeX RDF	Inverse Synthetic Aperture Radar, Mixture models, Bayesian inference, Markov chain Monte Carlo, Discrimination, Target recognition
39	Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo	Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers.	SSPR/SPR	2000	DBLP DOI BibTeX RDF	mixture model classifier, class-conditional probability density function, class separability, minimum description length criterion, genetic algorithm
39	Ingemar J. Cox, Joumana Ghosn, Peter N. Yianilos	Feature-Based Face Recognition Using Mixture-Distance.	CVPR	1996	DBLP DOI BibTeX RDF	Improved Distance Metrics, Face Recognition, Mixture Models, Statistical Pattern Recognition
38	Nathalie Giordana, Wojciech Pieczynski	Estimation of Generalized Multisensor Hidden Markov Chains and Unsupervised Image Segmentation.	IEEE Trans. Pattern Anal. Mach. Intell.	1997	DBLP DOI BibTeX RDF	Multisensor data, mixture estimation, generalized mixture estimation, hidden Markov chain, Bayesian segmentation, unsupervised segmentation
38	Yue Joseph Wang, Huao Li, Jianhua Xuan, Shih-Chung Ben Lo, Seong Ki Mun	Modeling of Wavelet Coefficients in Medical Image Compression.	ICIP (1)	1997	DBLP DOI BibTeX RDF	multiresolution space-frequency representation, wavelet-based source coding, finite mixture distribution, statistical model identification, finite generalized Gaussian mixture, unsupervised learning procedure, tripled adaptive algorithm, local kernels, adaptive histogram quantification, parameter estimation, information theory, discrete wavelet transform, medical image processing, quantization, wavelet coefficients, medical image compression
38	Rong Jin 0001, Luo Si, Chengxiang Zhai	A study of mixture models for collaborative filtering.	Inf. Retr.	2006	DBLP DOI BibTeX RDF	Collaborative filtering, Probabilistic model, Graphical model
38	Gérard Govaert, Mohamed Nadif	An EM Algorithm for the Block Mixture Model.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF
38	Younjeong Lee, Joohun Lee, Ki Yong Lee	PCA Fuzzy Mixture Model for Speaker Identification.	IDEAL	2003	DBLP DOI BibTeX RDF
38	Xinhua Zhuang, Yan Huang 0010, Kannappan Palaniappan, Yunxin Zhao	Gaussian mixture density modeling, decomposition, and applications.	IEEE Trans. Image Process.	1996	DBLP DOI BibTeX RDF
36	Nizar Bouguila, Djemel Ziou	Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	Dirichlet mixture, shadow modeling, texture summarization, EM, SAR images, Finite mixture models, MML
36	Josep Domingo-Ferrer, Francesc Sebé	Enhancing Watermark Robustness through Mixture of Watermarked Digital Objects.	ITCC	2002	DBLP DOI BibTeX RDF	Watermark mixture, Mixture functions, Robustness, Watermarking, Copyright protection
36	Constantinos Constantinopoulos, Aristidis Likas	Efficient Training Algorithms for the Probabilistic RBF Network.	SETN	2004	DBLP DOI BibTeX RDF	Neural Networks, Machine Learning, Classification, Mixture Models, Probabilistic Reasoning
35	Peter A. N. Bosman	The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization.	GECCO	2010	DBLP DOI BibTeX RDF	multi-objective optimization, estimation of distribution algorithms, anticipation, mixture distribution
35	Haixian Wang, Zilan Hu	On EM Estimation for Mixture of Multivariate t-Distributions.	Neural Process. Lett.	2009	DBLP DOI BibTeX RDF	Mixture of multivariate t-distributions, Robust modelling, Missing data, Expectation maximization (EM) algorithm
35	Peng Cui 0001, Lifeng Sun, Shiqiang Yang	Adaptive mixture observation models for multiple object tracking.	Sci. China Ser. F Inf. Sci.	2009	DBLP DOI BibTeX RDF	mixture tracker, online feature selection, particle filter, motion tracking
35	Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown 0001, James A. R. Marshall	Modeling UCS as a mixture of experts.	GECCO	2009	DBLP DOI BibTeX RDF	probabilistic modeling, learning classifier system, mixture of experts, UCS
35	Shingo Takahashi, Yuki Yoshida, Shuji Tsukiyama	A Gaussian mixture model for statistical timing analysis.	DAC	2009	DBLP DOI BibTeX RDF	slew distribution, variability, Gaussian mixture model, statistical timing analysis, delay distribution
35	Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums	A bayesian mixture model with linear regression mixing proportions.	KDD	2008	DBLP DOI BibTeX RDF	bayesian mixture model, mixing proportion, linear regression, gibbs sampler
35	Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas	A Sparse Regression Mixture Model for Clustering Time-Series.	SETN	2008	DBLP DOI BibTeX RDF	Clustering time-series, Regression mixture model, sparse prior, Expectation-Maximization (EM) algorithm
35	Mark Sandler 0002	Hierarchical mixture models: a probabilistic analysis.	KDD	2007	DBLP DOI BibTeX RDF	hierarchical clustering, mixture models, topical models
35	Nizar Bouguila, Djemel Ziou, Ernest Monga	Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Mixture modeling, Maximum likelihood, EM, SAR images, Gibbs sampling, Bayesian analysis, SEM, Beta distribution, Metropolis-Hastings
35	Andrea Torsello, Edwin R. Hancock	Learning Shape-Classes Using a Mixture of Tree-Unions.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	tree clustering, mixture modelinq, model codes, minimum description length, Structural learning, shock graphs
35	Mohand Saïd Allili, Djemel Ziou	Object Contour Tracking in Videos by Matching Finite Mixture Models.	AVSS	2006	DBLP DOI BibTeX RDF	mixture of pdfs, Tracking, texture, color, shape, level-sets, boundary
35	Zhiwu Lu 0001, Xiaoqing Lu	A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection.	RSKT	2006	DBLP DOI BibTeX RDF	model selection, Gaussian mixture, competitive learning, regularization theory
35	ChengXiang Zhai, Atulya Velivelli, Bei Yu 0002	A cross-collection mixture model for comparative text mining.	KDD	2004	DBLP DOI BibTeX RDF	comparative text mining, clustering, mixture models
35	Cristian Sminchisescu, Allan D. Jepson	Variational Mixture Smoothing for Non-Linear Dynamical Systems.	CVPR (2)	2004	DBLP DOI BibTeX RDF	non-linear non-Gaussian systems, variational approximation, high-dimensional search, monocular 3D body tracking, Kinematic Jump Sampling, mixture models, constrained optimization
35	Mark J. Brewer	Discretisation for inference on normal mixture models.	Stat. Comput.	2003	DBLP DOI BibTeX RDF	normal mixture models, discretisation of continuous parameters, Bayesian inference
35	Edmondo Trentin, Diego Giuliani	A Mixture of Recurrent Neural Networks for Speaker Normalisation.	Neural Comput. Appl.	2001	DBLP DOI BibTeX RDF	Mixture of neural networks, Speaker normalisation, Speech recognition, Recurrent neural network, Speaker adaptation, Multivariate regression
35		Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood.	IEEE Trans. Pattern Anal. Mach. Intell.	2000	DBLP DOI BibTeX RDF	integrated likelihood, integrated completed likelihood, ICL criterion, clustering, Mixture model, BIC
33	Cristian Sminchisescu, Atul Kanaujia, Zhiguo Li, Dimitris N. Metaxas	Discriminative Density Propagation for 3D Human Motion Estimation.	CVPR (1)	2005	DBLP DOI BibTeX RDF	density propagation, hierarchical mixture of experts, 3D human tracking, sparse regression, mixture modeling, Bayesian methods
33	Ashok N. Srivastava, Renjeng Su, Andreas S. Weigend	Data Mining for Features Using Scale-Sensitive Gated Experts.	IEEE Trans. Pattern Anal. Mach. Intell.	1999	DBLP DOI BibTeX RDF	classification and regression, time series segmentation, neural networks, mixture model, Mixture of experts
33	Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss	Simplifying Mixture Models Using the Unscented Transform.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF
33	Pierrick Bruneau, Marc Gelgon, Fabien Picarougne	Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach.	ICPR	2008	DBLP DOI BibTeX RDF
33	Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa	The Mixture of Neural Networks as Ensemble Combiner.	ANNPR	2008	DBLP DOI BibTeX RDF
33	Atulya Velivelli, Thomas S. Huang	Automatic Video Annotation Using Multimodal Dirichlet Process Mixture Model.	ICNSC	2008	DBLP DOI BibTeX RDF
33	Tao Shi, Mikhail Belkin, Bin Yu 0001	Data spectroscopy: learning mixture models using eigenspaces of convolution operators.	ICML	2008	DBLP DOI BibTeX RDF
33	Tsung-I Lin, Jack C. Lee, Wan J. Hsieh	Robust mixture modeling using the skew t distribution.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	EM-type algorithms, Outlying observations, PX-EM algorithm, Skew t mixtures, Truncated normal, Maximum likelihood
33	Kumiko Maebashi, Nobuo Suematsu, Akira Hayashi	Component Reduction for Hierarchical Mixture Model Construction.	ICONIP (2)	2007	DBLP DOI BibTeX RDF
33	Masayuki Tanaka 0001, Masatoshi Okutomi	Super-Resolution using a Multi-Mixture Imaging System.	ICIP	2006	DBLP DOI BibTeX RDF
33	Jinwen Ma, Qi-Cai He	A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection.	IDEAL	2005	DBLP DOI BibTeX RDF
33	Wei Du 0006, Justus H. Piater	Tracking by cluster analysis of feature points using a mixture particle filter.	AVSS	2005	DBLP DOI BibTeX RDF
33	Ralph Gross, Jie Yang 0001, Alex Waibel	Growing Gaussian Mixture Models for Pose Invariant Face Recognition.	ICPR	2000	DBLP DOI BibTeX RDF
32	Kuansan Wang, Xiaolong Li, Jianfeng Gao 0001	Multi-style language model for web scale information retrieval.	SIGIR	2010	DBLP DOI BibTeX RDF	mixture language models, probabilistic relevance model, information retrieval, parameter estimation, smoothing
32	Adam Tauman Kalai, Ankur Moitra, Gregory Valiant	Efficiently learning mixtures of two Gaussians.	STOC	2010	DBLP DOI BibTeX RDF	Gaussians, finite mixture models, method of moments
32	Anastasios Alivanoglou, Aristidis Likas	Probabilistic Models Based on the Pi-Sigmoid Distribution.	ANNPR	2008	DBLP DOI BibTeX RDF	?-sigmoid distribution, orthogonal clustering, image segmentation, mixture models, Probabilistic neural networks
32	Limin Xu, Zhenmin Tang, Keke He, Bo Qian 0004	Transformation-Based GMM with Improved Cluster Algorithm for Speaker Identification.	PAKDD	2007	DBLP DOI BibTeX RDF	Improved cluster algorithm, Gaussian mixture model (GMM), Linear transformation, Expectation-maximization (EM) algorithm
32	Heesung Kwon, Nasser M. Nasrabadi	Kernel Matched Subspace Detectors for Hyperspectral Target Detection.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	subspace detectors, matched signal detectors, kernel-based learning, spectral mixture models, nonlinear detection, Target detection, hyperspectral data
32	Jason D. M. Rennie, Tommi S. Jaakkola	Using term informativeness for named entity detection.	SIGIR	2005	DBLP DOI BibTeX RDF	term frequency distribution, mixture models, inverse document frequency, named entity extraction
32	Rujirutana Srikanchana, Jianhua Xuan, Matthew T. Freedman, Charles C. Nguyen, Yue Joseph Wang	Non-Rigid Image Registration by Neural Computation.	J. VLSI Signal Process.	2004	DBLP DOI BibTeX RDF	non-rigid image registration, mixture of principal axes registration, control points selection, multilayer perceptron, neural computation, change analysis
32	Alexander Ypma, Tom Heskes	Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models.	WEBKDD	2002	DBLP DOI BibTeX RDF	automatic categorization, data mining, clustering, hidden Markov models, user profiling, mixture models, Web usage mining, navigation patterns
30	Paul David McNicholas, Thomas Brendan Murphy	Parsimonious Gaussian mixture models.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Cluster analysis, Mixture models, Factor analysis, Model-based clustering, Probabilistic principal components analysis
30	Hichem Sahbi	A particular Gaussian mixture model for clustering and its application to image retrieval.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Kernel methods and image retrieval, Clustering, Gaussian mixture models
30	Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam	TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	stability regions, unsupervised learning, dynamical systems, expectation maximization, model-based clustering, finite mixture models
30	Kenji Hara, Ko Nishino, Katsushi Ikeuchi	Mixture of Spherical Distributions for Single-View Relighting.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Von Mises-Fisher distribution, Finite mixture distibution, EM algorithm, Inverse rendering
30	Gloria Haro, Gregory Randall, Guillermo Sapiro	Translated Poisson Mixture Model for Stratification Learning.	Int. J. Comput. Vis.	2008	DBLP DOI BibTeX RDF	Stratification learning, Dimension estimation, Translated Poisson, Clustering, Mixture models, Manifold learning, Density estimation
30	Dong Yin, Jia Pan, Peng Chen 0014, Rong Zhang	Medical Image Categorization Based on Gaussian Mixture Model.	BMEI (2)	2008	DBLP DOI BibTeX RDF	Medical Image, Mixture Model, Categorization, Gaussian
30	Allou Samé, Christophe Ambroise, Gérard Govaert	An online classification EM algorithm based on the mixture model.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	CEM, Clustering, Mixture model, EM, Stochastic gradient, Exponential family
30	Reza Ebrahimpour, Ehsanollah Kabir, Mohammad Reza Yousefi	Face Detection Using Mixture of MLP Experts.	Neural Process. Lett.	2007	DBLP DOI BibTeX RDF	Principal component analysis, Face detection, Combining classifiers, Mixture of experts
30	Do Joon Jung, Kyung Su Kwon, Hang Joon Kim	Human Pose Estimation Using a Mixture of Gaussians Based Image Modeling.	HCI (3)	2007	DBLP DOI BibTeX RDF	Human Pose Estimation, Bayesian Network, Mixture of Gaussians
30	Chris Poppe, Gaëtan Martens, Peter Lambert, Rik Van de Walle	Mixture Models Based Background Subtraction for Video Surveillance Applications.	CAIP	2007	DBLP DOI BibTeX RDF	Mixture of Gaussian Models, Object Detection, Video Surveillance
30	Jinwen Ma, Le Wang	BYY Harmony Learning on Finite Mixture: Adaptive Gradient Implementation and A Floating RPCL Mechanism.	Neural Process. Lett.	2006	DBLP DOI BibTeX RDF	Bayesian Ying-Yang system, harmony learning, rival penalized competitive learning, clustering analysis, finite mixture
30	Qiaozhu Mei, ChengXiang Zhai	A mixture model for contextual text mining.	KDD	2006	DBLP DOI BibTeX RDF	contextual text mining, theme pattern, clustering, context, EM algorithm, mixture model
30	Nurul Arif Setiawan, Seok-Ju Hong, Jang-Woon Kim, Chil-Woo Lee	Gaussian Mixture Model in Improved HLS Color Space for Human Silhouette Extraction.	ICAT	2006	DBLP DOI BibTeX RDF	Improved HLS, Gaussian Mixture Model, foreground segmentation
30	Guoliang Li 0002, Tze-Yun Leong, Louxin Zhang	Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	mixture Gaussian model, classification, feature extraction, Bioinformatics, translation initiation sites
30	Tsung-I Lin, Jack C. Lee, Huey F. Ni	Bayesian analysis of mixture modelling using the multivariate t distribution.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	t mixture model, maximum likelihood estimation, MCMC, maximum a posteriori, ECM, ECME
30	Zhihua Zhang, Kap Luk Chan, Yiming Wu, Chibiao Chen	Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	reversible jump methodology, split and combine moves, Gaussian mixture model, Bayesian inference, model selection, Markov chain Monte Carlo
30	Zikuan Liu, Jalal Almhana, Vartan Choulakian, Robert McGorman	Recursive EM Algorithm for Finite Mixture Models with Application to Internet Traffic Modeling.	CNSR	2004	DBLP DOI BibTeX RDF	EM Algorithm, stochastic approximation, Internet traffic, Bayesian information criterion, mixture distribution
30	Jon M. Kleinberg, Mark Sandler 0002	Using mixture models for collaborative filtering.	STOC	2004	DBLP DOI BibTeX RDF	clustering, collaborative filtering, linear programming, text classification, singular value decomposition, mixture models, latent class models
30	Alfons Juan, José García-Hernández, Enrique Vidal 0001	EM Initialisation for Bernoulli Mixture Learning.	SSPR/SPR	2004	DBLP DOI BibTeX RDF	Multivariate Bernoulli Distribution, Initialisation Techniques, Indian Digits, EM Algorithm, Mixture Models, Binary Data
30	David J. Miller 0001, John Browning	A Mixture Model and EM-Based Algorithm for Class Discovery, Robust Classification, and Outlier Rejection in Mixed Labeled/Unlabeled Data Sets.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	labeled and unlabeled data, sample rejection, text categorization, EM algorithm, mixture models, outlier detection, Class discovery
30	Jianping Fan 0001, Hangzai Luo, Xiaodong Lin 0004	Semantic video classification by integrating flexible mixture model with adaptive EM algorithm.	Multimedia Information Retrieval	2003	DBLP DOI BibTeX RDF	flexible mixture model, principal video shots, semantic video classification, adaptive EM algorithm