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Clustering

3,638 papers

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Papers

PG-means: learning the number of clusters in data NIPS 2006
A Complexity-Distortion Approach to Joint Pattern Alignment NIPS 2006
An Approach to Bounded Rationality NIPS 2006
Fundamental Limitations of Spectral Clustering NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Clustering Under Prior Knowledge with Application to Image Segmentation NIPS 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Fast Discriminative Visual Codebooks using Randomized Clustering Forests NIPS 2006
Clustering appearance and shape by learning jigsaws NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
Learning with Hypergraphs: Clustering, Classification, and Embedding NIPS 2006
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NIPS 2006
Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006
Learning Spectral Clustering, With Application To Speech Separation JMLR 2006
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006
Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005
Learning a Mahalanobis Metric from Equivalence Constraints JMLR 2005
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005
Clustering with Bregman Divergences JMLR 2005
Hierarchical Latent Class Models for Cluster Analysis JMLR 2004
Feature Selection for Unsupervised Learning JMLR 2004
Latent Dirichlet Allocation JMLR 2003
Distributional Word Clusters vs. Words for Text Categorization JMLR 2003