Clustering

Robust Clustering as Ensembles of Affinity Relations NeurIPS 2010 Sample Complexity of Testing the Manifold Hypothesis NeurIPS 2010 Segmentation as Maximum-Weight Independent Set NeurIPS 2010 Semi-Supervised Learning with Max-Margin Graph Cuts AISTATS 2010 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010 Sphere Embedding: An Application to Part-of-Speech Induction NeurIPS 2010 Structural epitome: a way to summarize one’s visual experience NeurIPS 2010 Supervised Clustering NeurIPS 2010 Towards Property-Based Classification of Clustering Paradigms NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 Unsupervised Kernel Dimension Reduction NeurIPS 2010 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Dlib-ml: A Machine Learning Toolkit JMLR 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 Individuation, Identification and Object Discovery NeurIPS 2009 Java-ML: A Machine Learning Library JMLR 2009 Learning a Small Mixture of Trees NeurIPS 2009 Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NeurIPS 2009 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009