unsupervised learning

Emergence of conjunctive visual features by quadratic independent component analysis NeurIPS 2006 Fast Iterative Kernel PCA NeurIPS 2006 Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 Learning to be Bayesian without Supervision 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 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006 Particle Filtering for Nonparametric Bayesian Matrix Factorization NeurIPS 2006 PG-means: learning the number of clusters in data NeurIPS 2006 Recursive ICA NeurIPS 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing NeurIPS 2006 Feature Selection for Unsupervised Learning JMLR 2004 Beyond Independent Components: Trees and Clusters JMLR 2003 ICA Using Spacings Estimates of Entropy JMLR 2003 Sufficient Dimensionality Reduction JMLR 2003 Coupled Clustering: A Method for Detecting Structural Correspondence JMLR 2002 Regularized Principal Manifolds JMLR 2001 Support Vector Clustering JMLR 2001