unsupervised learning

Dimensionality Reduction for Data in Multiple Feature Representations NeurIPS 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 Natural Image Denoising with Convolutional Networks NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Spike Feature Extraction Using Informative Samples NeurIPS 2008 Unsupervised Learning of Visual Sense Models for Polysemous Words NeurIPS 2008 Cluster Stability for Finite Samples NeurIPS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007 Learning the 2-D Topology of Images NeurIPS 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007 Sparse deep belief net model for visual area V2 NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Spatial Latent Dirichlet Allocation NeurIPS 2007 The Infinite Gamma-Poisson Feature Model NeurIPS 2007 Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007 A Local Learning Approach for Clustering NeurIPS 2006 Blind source separation for over-determined delayed mixtures NeurIPS 2006 Clustering appearance and shape by learning jigsaws 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