Co-occurring keywords · papers mentioning both
Papers
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
NeurIPS 2009
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
NeurIPS 2009
Nonparametric Bayesian Texture Learning and Synthesis
NeurIPS 2009
Nonparametric Latent Feature Models for Link Prediction
NeurIPS 2009
Analyzing human feature learning as nonparametric Bayesian inference
NeurIPS 2008
Bayesian Synchronous Grammar Induction
NeurIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
NeurIPS 2008
The Gaussian Process Density Sampler
NeurIPS 2008
The Infinite Factorial Hidden Markov Model
NeurIPS 2008
The Infinite Hierarchical Factor Regression Model
NeurIPS 2008
The Mondrian Process
NeurIPS 2008
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
RSS 2007
Infinite State Bayes-Nets for Structured Domains
NeurIPS 2007
The Infinite Gamma-Poisson Feature Model
NeurIPS 2007
The Infinite Markov Model
NeurIPS 2007
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
NeurIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
NeurIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
NeurIPS 2006
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models
NeurIPS 2006
Modeling Dyadic Data with Binary Latent Factors
NeurIPS 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization
NeurIPS 2006