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Clustering

3,638 papers

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Papers

Dependent Dirichlet Process Spike Sorting NIPS 2008
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features NIPS 2008
Measures of Clustering Quality: A Working Set of Axioms for Clustering NIPS 2008
On the Reliability of Clustering Stability in the Large Sample Regime NIPS 2008
Learning Taxonomies by Dependence Maximization NIPS 2008
Implicit Mixtures of Restricted Boltzmann Machines NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
Generalization from Observed to Unobserved Features by Clustering JMLR 2008
Hit Miss Networks with Applications to Instance Selection JMLR 2008
Mixed Membership Stochastic Blockmodels JMLR 2008
Clustering Sensor Data for Terrain Identification using a Windowless Algorithm RSS 2008
Classifying Dynamic Objects: An Unsupervised Learning Approach RSS 2008
Distributed Localization of Modular Robot Ensembles RSS 2008
Ensemble Clustering using Semidefinite Programming NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Nearest-Neighbor-Based Active Learning for Rare Category Detection NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
Cluster Stability for Finite Samples NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007
Discriminative K-means for Clustering NIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007