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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Markov Network-Based Unified Classifier for Face Identification ICCV 2013
Semantically-Based Human Scanpath Estimation with HMMs ICCV 2013
Fingerspelling Recognition with Semi-Markov Conditional Random Fields ICCV 2013
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects ICCV 2013
Robust Matrix Factorization with Unknown Noise ICCV 2013
A Deep Sum-Product Architecture for Robust Facial Attributes Analysis ICCV 2013
Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013
Structure Learning of Mixed Graphical Models AISTATS 2013
Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013
Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013
Computing the M Most Probable Modes of a Graphical Model AISTATS 2013
Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013
A unifying representation for a class of dependent random measures AISTATS 2013
Consistency of Robust Kernel Density Estimators COLT 2013
Saliency Detection via Absorbing Markov Chain ICCV 2013
Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification ICCV 2013
Dynamic Probabilistic Volumetric Models ICCV 2013
A Principled Deep Random Field Model for Image Segmentation CVPR 2013
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013
Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013
Multi-Prediction Deep Boltzmann Machines NIPS 2013
Learning and using language via recursive pragmatic reasoning about other agents NIPS 2013
Graphical Models for Inference with Missing Data NIPS 2013
Efficient Online Inference for Bayesian Nonparametric Relational Models NIPS 2013