Probabilistic Modeling

Probabilistic Label Trees for Efficient Large Scale Image Classification CVPR 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Probabilistic Movement Primitives NeurIPS 2013 Probabilistic Principal Geodesic Analysis NeurIPS 2013 Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013 Recovering Line-Networks in Images by Junction-Point Processes CVPR 2013 Recurrent linear models of simultaneously-recorded neural populations NeurIPS 2013 Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel NeurIPS 2013 Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 Robust Matrix Factorization with Unknown Noise ICCV 2013 Saliency Detection via Absorbing Markov Chain ICCV 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Scene Parsing by Integrating Function, Geometry and Appearance Models CVPR 2013 Semantically-Based Human Scanpath Estimation with HMMs ICCV 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Similarity Component Analysis NeurIPS 2013 Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos ICCV 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013