Co-occurring keywords · papers mentioning both
Papers
Robust Low Rank Kernel Embeddings of Multivariate Distributions
NeurIPS 2013
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
AISTATS 2012
Beta-Negative Binomial Process and Poisson Factor Analysis
AISTATS 2012
Deep Representations and Codes for Image Auto-Annotation
NeurIPS 2012
Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition
JMLR 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models
NeurIPS 2012
Hierarchical Latent Dictionaries for Models of Brain Activation
AISTATS 2012
Hierarchical spike coding of sound
NeurIPS 2012
Multiresolution Gaussian Processes
NeurIPS 2012
Unsupervised Structure Discovery for Semantic Analysis of Audio
NeurIPS 2012
Bayesian Bias Mitigation for Crowdsourcing
NeurIPS 2011
Multiscale Community Blockmodel for Network Exploration
AISTATS 2011
Priors over Recurrent Continuous Time Processes
NeurIPS 2011
Spatial distance dependent Chinese restaurant processes for image segmentation
NeurIPS 2011
Why The Brain Separates Face Recognition From Object Recognition
NeurIPS 2011
A unified model of short-range and long-range motion perception
NeurIPS 2010
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
NeurIPS 2010
Detecting Weak but Hierarchically-Structured Patterns in Networks
AISTATS 2010
Hierarchical Gaussian Process Regression
ACML 2010
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
NeurIPS 2009
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
NeurIPS 2009
On Invariance in Hierarchical Models
NeurIPS 2009
Region-based Segmentation and Object Detection
NeurIPS 2009
Variational Inference for the Nested Chinese Restaurant Process
NeurIPS 2009
A Scalable Hierarchical Distributed Language Model
NeurIPS 2008