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em algorithm

71 papers

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Also known as

EM

Co-occurring keywords

expectation maximization (254) mixture model (262) bayesian inference (1904) variational inference (2069) probabilistic model (476) graphical model (863) latent variable model (564) probabilistic modeling (851) hidden markov model (301) parameter estimation (274)

Papers

Sparse Learning in Gaussian Chain Graphs for State Space Models PGM 2018
Learning Mixture of Gaussians with Streaming Data NIPS 2017
Inferring Human Attention by Learning Latent Intentions IJCAI 2017
Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016
A Probabilistic Framework for Color-Based Point Set Registration CVPR 2016
Structured Generative Models of Continuous Features for Word Sense Induction COLING 2016
Robust Tensor Factorization With Unknown Noise CVPR 2016
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NIPS 2015
Handling Motion Blur in Multi-Frame Super-Resolution CVPR 2015
Bayesian Inference for Neighborhood Filters With Application in Denoising CVPR 2015
Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014
PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014
Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems JMLR 2014
A Practical Transfer Learning Algorithm for Face Verification ICCV 2013
Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013
Approximate Inference in Collective Graphical Models ICML 2013
Learning an Internal Dynamics Model from Control Demonstration ICML 2013
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Composite Statistical Inference for Semantic Segmentation CVPR 2013
Dictionary Learning from Ambiguously Labeled Data CVPR 2013
EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012
The variational hierarchical EM algorithm for clustering hidden Markov models NIPS 2012
A Method of Moments for Mixture Models and Hidden Markov Models COLT 2012
Fast Variational Mode-Seeking AISTATS 2012