A unifying review of linear Gaussian models
Neural Computation
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Neural Computation
Comparison of approximate methods for handling hyperparameters
Neural Computation
An Introduction to Variational Methods for Graphical Models
Machine Learning
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised document classification using sequential information maximization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Deterministic Generative Models for Fast Feature Discovery
Data Mining and Knowledge Discovery
Unsupervised Learning by Probabilistic Latent Semantic Analysis
Machine Learning
A Greedy EM Algorithm for Gaussian Mixture Learning
Neural Processing Letters
Approximate algorithms for neural-Bayesian approaches
Theoretical Computer Science - Natural computing
Efficient greedy learning of Gaussian mixture models
Neural Computation
Parametric Distributional Clustering for Image Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Asymmetric Gaussian and Its Application to Pattern Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Coordinating Principal Component Analyzers
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
HSCC '00 Proceedings of the Third International Workshop on Hybrid Systems: Computation and Control
Rigid Point-Surface Registration Using an EM Variant of ICP for Computer Guided Oral Implantology
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Estimating Grammar Parameters Using Bounded Memory
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches
Neural Processing Letters
Neural Computation
Clustering in massive data sets
Handbook of massive data sets
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Learning Occupancy Grid Maps with Forward Sensor Models
Autonomous Robots
Learning with mixtures of trees
The Journal of Machine Learning Research
The em algorithm for kernel matrix completion with auxiliary data
The Journal of Machine Learning Research
Machine Learning for Computer Graphics: A Manifesto and Tutorial
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Generative model-based clustering of directional data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
A unified framework for model-based clustering
The Journal of Machine Learning Research
Recursive Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchy, priors and wavelets: structure and signal modelling using ICA
Signal Processing - Special issue on independent components analysis and beyond
A probabilistic framework for semi-supervised clustering
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
An information theoretic analysis of maximum likelihood mixture estimation for exponential families
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Feature selection, L1 vs. L2 regularization, and rotational invariance
ICML '04 Proceedings of the twenty-first international conference on Machine learning
The multiple multiplicative factor model for collaborative filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Reinforcement Learning with Factored States and Actions
The Journal of Machine Learning Research
Tracking dynamics of topic trends using a finite mixture model
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
The MPM-MAP algorithm for motion segmentation
Computer Vision and Image Understanding
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Joint discovery of haplotype blocks and complex trait associations from SNP sequences
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Mean Shift Is a Bound Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
Semisupervised learning from different information sources
Knowledge and Information Systems
Effective Gaussian Mixture Learning for Video Background Subtraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic syslog mining for network failure monitoring
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Nested Monte Carlo EM Algorithm for Switching State-Space Models
IEEE Transactions on Knowledge and Data Engineering
Variational Bayesian image modelling
ICML '05 Proceedings of the 22nd international conference on Machine learning
Multimodal oriented discriminant analysis
ICML '05 Proceedings of the 22nd international conference on Machine learning
Probabilistic neural network playing and learning Tic-Tac-Toe
Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition
One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture Modeling with Pairwise, Instance-Level Class Constraints
Neural Computation
A Tighter Bound for Graphical Models
Neural Computation
Neural Computation
On-line EM Algorithm for the Normalized Gaussian Network
Neural Computation
Bayesian Feature and Model Selection for Gaussian Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
International Journal of Computer Vision
Robust probabilistic projections
ICML '06 Proceedings of the 23rd international conference on Machine learning
New EM derived from Kullback-Leibler divergence
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
2005 Special Issue: A systems approach to appraisal mechanisms in emotion
Neural Networks - Special issue: Emotion and brain
Incorporating large unlabeled data to enhance EM classification
Journal of Intelligent Information Systems
Convergence Theorems for Generalized Alternating Minimization Procedures
The Journal of Machine Learning Research
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Annealing techniques for unsupervised statistical language learning
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Semi-supervised training for statistical word alignment
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
State-Space Models: From the EM Algorithm to a Gradient Approach
Neural Computation
Learning Parts-Based Representations of Data
The Journal of Machine Learning Research
Building Blocks for Variational Bayesian Learning of Latent Variable Models
The Journal of Machine Learning Research
Network anomaly detection with incomplete audit data
Computer Networks: The International Journal of Computer and Telecommunications Networking
Variational and stochastic inference for Bayesian source separation
Digital Signal Processing
Predictive discrete latent factor models for large scale dyadic data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Expectation-maximization method for EEG-based continuous cursor control
EURASIP Journal on Applied Signal Processing
Event detection using "variable module graphs" for home care applications
EURASIP Journal on Applied Signal Processing
Dynamics based control with an application to area-sweeping problems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
International Journal of Computer Vision
Computational Statistics & Data Analysis
Shape matching and registration by data-driven EM
Computer Vision and Image Understanding
Editorial: Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis
Computational Statistics & Data Analysis
Block clustering with Bernoulli mixture models: Comparison of different approaches
Computational Statistics & Data Analysis
Spike train decoding without spike sorting
Neural Computation
Pattern Recognition Letters
A clustering algorithm based on an estimated distribution model
International Journal of Business Intelligence and Data Mining
Learning symmetric causal independence models
Machine Learning
Bregman bubble clustering: A robust framework for mining dense clusters
ACM Transactions on Knowledge Discovery from Data (TKDD)
Incremental and adaptive abnormal behaviour detection
Computer Vision and Image Understanding
Incremental HMM training applied to ECG signal analysis
Computers in Biology and Medicine
Leveraging user query log: toward improving image data clustering
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Maximal Causes for Non-linear Component Extraction
The Journal of Machine Learning Research
Context-sensitive queries for image retrieval in digital libraries
Journal of Intelligent Information Systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Online learning with hidden markov models
Neural Computation
Preprocessing enhancements to improve data mining algorithms
International Journal of Business Intelligence and Data Mining
Intentional motion on-line learning and prediction
Machine Vision and Applications
Learning an Outlier-Robust Kalman Filter
ECML '07 Proceedings of the 18th European conference on Machine Learning
Incremental probabilistic latent semantic analysis for automatic question recommendation
Proceedings of the 2008 ACM conference on Recommender systems
Tracking and recognizing actions of multiple hockey players using the boosted particle filter
Image and Vision Computing
Modeling hidden topics on document manifold
Proceedings of the 17th ACM conference on Information and knowledge management
Outlier Robust Gaussian Process Classification
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Graphical Models, Exponential Families, and Variational Inference
Foundations and Trends® in Machine Learning
Arbitrary norm support vector machines
Neural Computation
The variational gaussian approximation revisited
Neural Computation
Sampling-based estimators for subset-based queries
The VLDB Journal — The International Journal on Very Large Data Bases
Using fast weights to improve persistent contrastive divergence
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Model-free reinforcement learning as mixture learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
International Journal of Approximate Reasoning
Automatic spike sorting using tuning information
Neural Computation
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Initialization of the Neighborhood EM Algorithm for Spatial Clustering
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Incremental estimation of discrete hidden Markov models based on a new backward procedure
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Using expectation maximization to find likely assignments for solving CSP's
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Online EM for unsupervised models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Convexity arguments for efficient minimization of the Bethe and Kikuchi free energies
Journal of Artificial Intelligence Research
2009 Special Issue: Cortical circuits for perceptual inference
Neural Networks
Semi-supervised topic modeling for image annotation
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Generating location overviews with images and tags by mining user-generated travelogues
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Incremental EM for Probabilistic Latent Semantic Analysis on Human Action Recognition
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
A hybrid EM approach to spatial clustering
Computational Statistics & Data Analysis
A variational inference framework for soft-in soft-out detection in multiple-access channels
IEEE Transactions on Information Theory
Dependency grammar induction via bitext projection constraints
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Speech separation by efficient combinatorial decoding of speech mixtures
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Batch linear manifold topographic map with regional dimensionality estimation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Grouped data clustering using a fast mixture-model-based algorithm
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Scalable model-based cluster analysis using clustering features
Pattern Recognition
Online Learning for Matrix Factorization and Sparse Coding
The Journal of Machine Learning Research
DENCLUE 2.0: fast clustering based on kernel density estimation
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Generative spectrogram factorization models for polyphonic piano transcription
IEEE Transactions on Audio, Speech, and Language Processing
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
IEEE Transactions on Signal Processing
Edge-preserving Bayesian image superresolution based on compound Markov random fields
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Bayesian Ying Yang system, best harmony learning, and Gaussian manifold based family
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
On smoothing and inference for topic models
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Data compression by volume prototypes for streaming data
Pattern Recognition
Machine learning problems from optimization perspective
Journal of Global Optimization
SCOAL: A framework for simultaneous co-clustering and learning from complex data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Comparison of optimization techniques for sequence pattern discovery by maximum-likelihood
Pattern Recognition Letters
Painless unsupervised learning with features
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Sparsity in dependency grammar induction
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
The Journal of Machine Learning Research
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
The Journal of Machine Learning Research
Posterior Regularization for Structured Latent Variable Models
The Journal of Machine Learning Research
A new look at state-space models for neural data
Journal of Computational Neuroscience
Distributed asynchronous online learning for natural language processing
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
The anatomy of a click: modeling user behavior on web information systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
A unified optimization framework for robust pseudo-relevance feedback algorithms
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Autonomous Helicopter Aerobatics through Apprenticeship Learning
International Journal of Robotics Research
Variational mixture smoothing for non-linear dynamical systems
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Variational inference with graph regularization for image annotation
ACM Transactions on Intelligent Systems and Technology (TIST)
An access cost-aware approach for object retrieval over multiple sources
Proceedings of the VLDB Endowment
EURASIP Journal on Advances in Signal Processing
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Incremental learning of multivariate Gaussian mixture models
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Summarizing tourist destinations by mining user-generated travelogues and photos
Computer Vision and Image Understanding
Concept formation using incremental Gaussian mixture models
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Learning tractable word alignment models with complex constraints
Computational Linguistics
Expectation Truncation and the Benefits of Preselection In Training Generative Models
The Journal of Machine Learning Research
Posterior Sparsity in Unsupervised Dependency Parsing
The Journal of Machine Learning Research
Mixed-membership naive Bayes models
Data Mining and Knowledge Discovery
Theory and Use of the EM Algorithm
Foundations and Trends in Signal Processing
RPLSA: A novel updating scheme for Probabilistic Latent Semantic Analysis
Computer Speech and Language
Semi-supervised modeling for prenominal modifier ordering
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Online heterogeneous mixture modeling with marginal and copula selection
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic topic models with biased propagation on heterogeneous information networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Two Distributed-State Models For Generating High-Dimensional Time Series
The Journal of Machine Learning Research
Scaling the mobile millennium system in the cloud
Proceedings of the 2nd ACM Symposium on Cloud Computing
Szemerédi-type clustering of peer-to-peer streaming system
Proceedings of the 2011 International Workshop on Modeling, Analysis, and Control of Complex Networks
A method for mixed states texture segmentation with simultaneous parameter estimation
Pattern Recognition Letters
Controlling complexity in part-of-speech induction
Journal of Artificial Intelligence Research
Proceedings of the 20th ACM international conference on Information and knowledge management
An active learning scenario for interactive machine translation
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A variational approximation for Bayesian networks with discrete and continuous latent variables
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Variational relevance vector machines
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Dynamic trees: a structured variational method giving efficient propagation rules
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Mixture representations for inference and learning in Boltzmann machines
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Block clustering with collapsed latent block models
Statistics and Computing
Gossip-Based greedy gaussian mixture learning
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
A novel updating scheme for probabilistic latent semantic indexing
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
The Information bottleneck EM algorithm
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Approximate inference and constrained optimization
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Super-Gaussian mixture source model for ICA
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
A fast implementation of the EM algorithm for mixture of multinomials
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Face Recognition from Caption-Based Supervision
International Journal of Computer Vision
U-likelihood and U-updating algorithms: statistical inference in latent variable models
ECML'05 Proceedings of the 16th European conference on Machine Learning
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Bayesian independent component analysis with prior constraints: an application in biosignal analysis
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Lateen EM: unsupervised training with multiple objectives, applied to dependency grammar induction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
Traffic video segmentation using adaptive-k gaussian mixture model
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Entropy controlled gauss-markov random measure field models for early vision
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Characterizing propagation methods for boolean satisfiability
SAT'06 Proceedings of the 9th international conference on Theory and Applications of Satisfiability Testing
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
Polygonal approximation of point sets
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Hangman BCI: An unsupervised adaptive self-paced Brain-Computer Interface for playing games
Computers in Biology and Medicine
Auxiliary variational information maximization for dimensionality reduction
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Closed-Form EM for sparse coding and its application to source separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
On identification of FIR systems having quantized output data
Automatica (Journal of IFAC)
An efficient learning procedure for deep boltzmann machines
Neural Computation
Computational aspects of fitting mixture models via the expectation-maximization algorithm
Computational Statistics & Data Analysis
State of the art in photon density estimation
ACM SIGGRAPH 2012 Courses
Tutorial and selected approaches on parameter learning in bayesian network with incomplete data
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Active learning for interactive machine translation
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Unsupervised learning on an approximate corpus
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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
Learning to map into a universal POS tagset
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Hybrid generative-discriminative recognition of human action in 3D joint space
Proceedings of the 20th ACM international conference on Multimedia
Incremental behavior modeling and suspicious activity detection
Pattern Recognition
Influence relation estimation based on lexical entrainment in conversation
Speech Communication
Automated Bayesian quality control of streaming rain gauge data
Environmental Modelling & Software
Cascade-based community detection
Proceedings of the sixth ACM international conference on Web search and data mining
eALPS: estimating abundance levels in pooled sequencing using available genotyping data
RECOMB'13 Proceedings of the 17th international conference on Research in Computational Molecular Biology
Modeling hidden topics with dual local consistency for image analysis
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Detecting insider threats in a real corporate database of computer usage activity
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 22nd international conference on World Wide Web
Stochastic variational inference
The Journal of Machine Learning Research
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
Advances in Data Analysis and Classification
Journal of Mathematical Imaging and Vision
Cost-sensitive active learning for computer-assisted translation
Pattern Recognition Letters
Variational algorithms for marginal MAP
The Journal of Machine Learning Research
International Journal of Speech Technology
Structural Bayesian Linear Regression for Hidden Markov Models
Journal of Signal Processing Systems
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