Unsupervised Learning

Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions JMLR 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Occlusive Components Analysis NeurIPS 2009 Optimal Scoring for Unsupervised Learning NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models NeurIPS 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Semi-Supervised Learning in Gigantic Image Collections NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009 Streaming k-means approximation NeurIPS 2009 Unsupervised Detection of Regions of Interest Using Iterative Link Analysis NeurIPS 2009 Unsupervised discovery of object classes from range data using latent Dirichlet allocation RSS 2009 Unsupervised feature learning for audio classification using convolutional deep belief networks NeurIPS 2009 Unsupervised Feature Selection for the k-means Clustering Problem NeurIPS 2009 Variational Inference for the Nested Chinese Restaurant Process NeurIPS 2009 Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation NeurIPS 2009 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 Classifying Dynamic Objects: An Unsupervised Learning Approach RSS 2008 Closed Sets for Labeled Data JMLR 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NeurIPS 2008 Generalization from Observed to Unobserved Features by Clustering JMLR 2008 Hit Miss Networks with Applications to Instance Selection JMLR 2008