Co-occurring keywords · papers mentioning both
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