Unsupervised Learning

HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NeurIPS 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Learning the 2-D Topology of Images NeurIPS 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 Polynomial Identification in the Limit of Substitutable Context-free Languages JMLR 2007 Sparse deep belief net model for visual area V2 NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Sparse Overcomplete Latent Variable Decomposition of Counts Data NeurIPS 2007 Statistical Analysis of Semi-Supervised Regression NeurIPS 2007 The Infinite Gamma-Poisson Feature Model NeurIPS 2007 Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NeurIPS 2007 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 A Local Learning Approach for Clustering NeurIPS 2006 An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Blind source separation for over-determined delayed mixtures NeurIPS 2006 Clustering appearance and shape by learning jigsaws NeurIPS 2006 Convergence of Laplacian Eigenmaps NeurIPS 2006 Detecting Humans via Their Pose NeurIPS 2006 Efficient Learning of Sparse Representations with an Energy-Based Model NeurIPS 2006 Efficient sparse coding algorithms NeurIPS 2006