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Clustering

3615 directly classified papers

Papers per year

Papers

Cluster Trees on Manifolds NIPS 2013
Memoized Online Variational Inference for Dirichlet Process Mixture Models NIPS 2013
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NIPS 2013
k-Prototype Learning for 3D Rigid Structures NIPS 2013
Provable Subspace Clustering: When LRR meets SSC NIPS 2013
Using multiple samples to learn mixture models NIPS 2013
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Small-Variance Asymptotics for Hidden Markov Models NIPS 2013
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012
Fast Variational Mode-Seeking AISTATS 2012
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012
Recovery of Sparse Probability Measures via Convex Programming NIPS 2012
Learning Mixtures of Tree Graphical Models NIPS 2012
Human memory search as a random walk in a semantic network NIPS 2012
A Spectral Algorithm for Latent Dirichlet Allocation NIPS 2012
Convergence and Energy Landscape for Cheeger Cut Clustering NIPS 2012
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NIPS 2012
How They Vote: Issue-Adjusted Models of Legislative Behavior NIPS 2012
Clustering Sparse Graphs NIPS 2012
Locating Changes in Highly Dependent Data with Unknown Number of Change Points NIPS 2012
Emergence of Object-Selective Features in Unsupervised Feature Learning NIPS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
Symmetric Correspondence Topic Models for Multilingual Text Analysis NIPS 2012