probabilistic model

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks NeurIPS 2016 Visual Path Prediction in Complex Scenes With Crowded Moving Objects CVPR 2016 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 Ordinal Mixed Membership Models ICML 2015 Probabilistic Appearance Models for Segmentation and Classification ICCV 2015 Sample Efficient Path Integral Control under Uncertainty NeurIPS 2015 Sampling from Probabilistic Submodular Models NeurIPS 2015 Secrets of GrabCut and Kernel K-Means ICCV 2015 Tractable Learning for Complex Probability Queries NeurIPS 2015 Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions ICCV 2015 Watch-n-Patch: Unsupervised Understanding of Actions and Relations CVPR 2015 A Bayesian Framework For the Local Configuration of Retinal Junctions CVPR 2014 Active Sampling for Subjective Image Quality Assessment CVPR 2014 A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014 Asymmetrical Gauss Mixture Models for Point Sets Matching CVPR 2014 Content-based recommendations with Poisson factorization NeurIPS 2014 Decomposing Parameter Estimation Problems NeurIPS 2014 Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014 Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations AISTATS 2014 Exchangeable Variable Models ICML 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 Extended and Unscented Gaussian Processes NeurIPS 2014 Inferring Unseen Views of People CVPR 2014 Learning Mixtures of Ranking Models NeurIPS 2014