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expectation maximization

254 papers

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Also known as

EM ECM

Co-occurring keywords

latent variable model (564) em algorithm (71) variational inference (2069) parameter estimation (274) gaussian mixture model (388) mixture model (262) latent variable (541) probabilistic modeling (851) probabilistic model (476) maximum likelihood (255)

Papers

Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Joint Motion Segmentation and Background Estimation in Dynamic Scenes CVPR 2014
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation ICML 2013
Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction CVPR 2013
Dictionary Learning from Ambiguously Labeled Data CVPR 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013
A Deep Sum-Product Architecture for Robust Facial Attributes Analysis ICCV 2013
Learning Slow Features for Behaviour Analysis ICCV 2013
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data ICML 2013
Similarity Component Analysis NIPS 2013
Multilinear Dynamical Systems for Tensor Time Series NIPS 2013
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NIPS 2012
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NIPS 2012
Probabilistic Low-Rank Subspace Clustering NIPS 2012
Graphlet decomposition of a weighted network AISTATS 2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Identifiability and Unmixing of Latent Parse Trees NIPS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
The variational hierarchical EM algorithm for clustering hidden Markov models NIPS 2012
A Global Structural EM Algorithm for a Model of Cancer Progression NIPS 2011
Posterior Sparsity in Unsupervised Dependency Parsing JMLR 2011
A concave regularization technique for sparse mixture models NIPS 2011
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions NIPS 2011