Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates
Journal of VLSI Signal Processing Systems
Unsupervised Learning by Probabilistic Latent Semantic Analysis
Machine Learning
Computational Statistics & Data Analysis
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Sourcebook of parallel computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Layered Motion Segmentation and Depth Ordering by Tracking Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Initializing EM using the properties of its trajectories in Gaussian mixtures
Statistics and Computing
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
A study of mixture models for collaborative filtering
Information Retrieval
ICML '06 Proceedings of the 23rd international conference on Machine learning
Annealing techniques for unsupervised statistical language learning
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Annealing structural bias in multilingual weighted grammar induction
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Neural Networks
Text segmentation in color images using tensor voting
Image and Vision Computing
SMEM Algorithm for Mixture Models
Neural Computation
A Unified Continuous Optimization Framework for Center-Based Clustering Methods
The Journal of Machine Learning Research
Minimum risk annealing for training log-linear models
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Bregman bubble clustering: A robust framework for mining dense clusters
ACM Transactions on Knowledge Discovery from Data (TKDD)
Applying the extended mass-constraint EM algorithm to image retrieval
Computers & Mathematics with Applications
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Maximal Causes for Non-linear Component Extraction
The Journal of Machine Learning Research
Soft clustering using weighted one-class support vector machines
Pattern Recognition
A Graphical Model for Content Based Image Suggestion and Feature Selection
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A Statistical Model for Histogram Refinement
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
EM Algorithm with PIP Initialization and Temperature-Based Selection
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Active relevance feedback for difficult queries
Proceedings of the 17th ACM conference on Information and knowledge management
A discrete mixture-based kernel for SVMs: Application to spam and image categorization
Information Processing and Management: an International Journal
Incremental and Adaptive Clustering Stream Data over Sliding Window
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Finding the biologically optimal alignment of multiple sequences
Artificial Intelligence in Medicine
Integrating spatial and color information in images using a statistical framework
Expert Systems with Applications: An International Journal
Model-based clustering by probabilistic self-organizing maps
IEEE Transactions on Neural Networks
Learning mixture models via component-wise parameter smoothing
Computational Statistics & Data Analysis
Improving motif refinement using hybrid expectation maximization and random projection
ISB '10 Proceedings of the International Symposium on Biocomputing
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Color image segmentation using a model-based clustering and a MFA-EM algorithm
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Generalized softmax networks for non-linear component extraction
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Random swap EM algorithm for finite mixture models in image segmentation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
The Journal of Machine Learning Research
A method for training finite mixture models under a fuzzy clustering principle
Fuzzy Sets and Systems
Expectation Truncation and the Benefits of Preselection In Training Generative Models
The Journal of Machine Learning Research
A quasi-Newton acceleration for high-dimensional optimization algorithms
Statistics and Computing
Inferring and using location metadata to personalize web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
Deterministic annealing EM and its application in natural image segmentation
CIS'04 Proceedings of the First international conference on Computational and Information Science
The Information bottleneck EM algorithm
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Preference-based graphic models for collaborative filtering
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Boltzmann machine learning with the latent maximum entropy principle
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
A comparative study on the use of labeled and unlabeled data for large margin classifiers
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Finding your friends and following them to where you are
Proceedings of the fifth ACM international conference on Web search and data mining
Short communication: On estimating simple probabilistic discriminative models with subclasses
Expert Systems with Applications: An International Journal
Feature subset-wise mixture model-based clustering via local search algorithm
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
PLSI utilization for automatic thesaurus construction
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Unsupervised color image segmentation using mean shift and deterministic annealing EM
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Robust learning of mixture models and its application on trial pruning for EEG signal analysis
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
A robust EM clustering algorithm for Gaussian mixture models
Pattern Recognition
Sequential minimal optimization in convex clustering repetitions
Statistical Analysis and Data Mining
Unified expectation maximization
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
A hierarchical procedure for the synthesis of ANFIS networks
Advances in Fuzzy Systems
Using evolutionary algorithms for model-based clustering
Pattern Recognition Letters
Probabilistic non-linear distance metric learning for constrained clustering
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering
Intent models for contextualising and diversifying query suggestions
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Dealing with multiple local modalities in latent class profile analysis
Computational Statistics & Data Analysis
Parsimonious skew mixture models for model-based clustering and classification
Computational Statistics & Data Analysis
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