Unsupervised Learning

Emergence of conjunctive visual features by quadratic independent component analysis NeurIPS 2006 Enhancing Supervised Terrain Classification with Predictive Unsupervised Learning RSS 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006 Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NeurIPS 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 Greedy Layer-Wise Training of Deep Networks NeurIPS 2006 Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Learning Minimum Volume Sets JMLR 2006 Learning Parts-Based Representations of Data JMLR 2006 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006 Learning to be Bayesian without Supervision NeurIPS 2006 Learning to Traverse Image Manifolds NeurIPS 2006 Manifold Denoising NeurIPS 2006 Modeling Dyadic Data with Binary Latent Factors NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NeurIPS 2006 Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006 PG-means: learning the number of clusters in data NeurIPS 2006 Recursive ICA NeurIPS 2006 Single Channel Speech Separation Using Factorial Dynamics NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing NeurIPS 2006 Unsupervised Regression with Applications to Nonlinear System Identification NeurIPS 2006