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conftrace_

expectation maximization

316 papers

EM

Papers

Low-Rank Matrix Factorization Under General Mixture Noise Distributions ICCV 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation ICCV 2015 A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014 Alternating Minimization for Mixed Linear Regression ICML 2014 A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NeurIPS 2014 Biclustering Using Message Passing NeurIPS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 Factoring Variations in Natural Images with Deep Gaussian Mixture Models NeurIPS 2014 Joint Motion Segmentation and Background Estimation in Dynamic Scenes CVPR 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014 PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 A Deep Sum-Product Architecture for Robust Facial Attributes Analysis ICCV 2013 An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation ICML 2013 Dictionary Learning from Ambiguously Labeled Data CVPR 2013 EDML for Learning Parameters in Directed and Undirected Graphical Models NeurIPS 2013 Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data ICML 2013 Learning Slow Features for Behaviour Analysis ICCV 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013