Clustering

Spatial Latent Dirichlet Allocation NeurIPS 2007 The Value of Labeled and Unlabeled Examples when the Model is Imperfect NeurIPS 2007 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 A Complexity-Distortion Approach to Joint Pattern Alignment NeurIPS 2006 Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006 A Local Learning Approach for Clustering NeurIPS 2006 An Approach to Bounded Rationality NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006 Clustering appearance and shape by learning jigsaws NeurIPS 2006 Clustering Under Prior Knowledge with Application to Image Segmentation NeurIPS 2006 Differential Entropic Clustering of Multivariate Gaussians NeurIPS 2006 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006 Fast Discriminative Visual Codebooks using Randomized Clustering Forests NeurIPS 2006 Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006 Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NeurIPS 2006 Graph Laplacian Regularization for Large-Scale Semidefinite Programming NeurIPS 2006 Hierarchical Dirichlet Processes with Random Effects NeurIPS 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006 Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NeurIPS 2006 Kernels on Structured Objects Through Nested Histograms NeurIPS 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Learning Spectral Clustering, With Application To Speech Separation JMLR 2006