Clustering

Multi-Label Prediction via Compressed Sensing NeurIPS 2009 Optimal Scoring for Unsupervised Learning NeurIPS 2009 Streaming k-means approximation NeurIPS 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008 Clustering via LP-based Stabilities NeurIPS 2008 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Inferring rankings under constrained sensing NeurIPS 2008 Influence of graph construction on graph-based clustering measures NeurIPS 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features NeurIPS 2008 Measures of Clustering Quality: A Working Set of Axioms for Clustering NeurIPS 2008 On the Reliability of Clustering Stability in the Large Sample Regime NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Cluster Stability for Finite Samples NeurIPS 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 Differential Entropic Clustering of Multivariate Gaussians NeurIPS 2006 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006