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Probabilistic Modeling

2591 directly classified papers

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Papers

A Deep Sum-Product Architecture for Robust Facial Attributes Analysis ICCV 2013
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects ICCV 2013
Learning the Visual Interpretation of Sentences ICCV 2013
Semantically-Based Human Scanpath Estimation with HMMs ICCV 2013
Hidden Factor Analysis for Age Invariant Face Recognition ICCV 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013
Bayesian Canonical Correlation Analysis JMLR 2013
Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes ICCV 2013
Learning Slow Features for Behaviour Analysis ICCV 2013
A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013
Bethe Bounds and Approximating the Global Optimum AISTATS 2013
Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013
Completeness Results for Lifted Variable Elimination AISTATS 2013
A recursive estimate for the predictive likelihood in a topic model AISTATS 2013
Learning Markov Networks With Arithmetic Circuits 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
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013
Latent Data Association: Bayesian Model Selection for Multi-target Tracking ICCV 2013
Latent Task Adaptation with Large-Scale Hierarchies ICCV 2013
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013
Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013
Learning the Structure of Sum-Product Networks ICML 2013
Message passing with l1 penalized KL minimization ICML 2013