probability distribution

Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs ICCV 2015 Differentially Private Learning of Structured Discrete Distributions NeurIPS 2015 Image Segmentation in Twenty Questions CVPR 2015 Information Geometry and Minimum Description Length Networks ICML 2015 Multiple Random Walkers and Their Application to Image Cosegmentation CVPR 2015 Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015 Probability Occupancy Maps for Occluded Depth Images CVPR 2015 The Randomized Causation Coefficient JMLR 2015 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 Two-Stage Metric Learning ICML 2014 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013 Sinkhorn Distances: Lightspeed Computation of Optimal Transport NeurIPS 2013 Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy ICML 2013 Algebraic Geometric Comparison of Probability Distributions JMLR 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Divergences and Risks for Multiclass Experiments COLT 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Learning from Distributions via Support Measure Machines NeurIPS 2012 Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Expressive Power and Approximation Errors of Restricted Boltzmann Machines NeurIPS 2011 Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NeurIPS 2011