manifold learning

Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012 Human Gesture Recognition on Product Manifolds JMLR 2012 Learning Manifolds with K-Means and K-Flats NeurIPS 2012 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012 Minimax rates for homology inference AISTATS 2012 Multi-task Vector Field Learning NeurIPS 2012 Non-linear Metric Learning NeurIPS 2012 On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 A Denoising View of Matrix Completion NeurIPS 2011 Data Skeletonization via Reeb Graphs NeurIPS 2011 Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NeurIPS 2011 Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011 k-NN Regression Adapts to Local Intrinsic Dimension NeurIPS 2011 Learning Anchor Planes for Classification NeurIPS 2011 Locally Defined Principal Curves and Surfaces JMLR 2011 Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NeurIPS 2011 Semi-supervised Regression via Parallel Field Regularization NeurIPS 2011 Sparse Manifold Clustering and Embedding NeurIPS 2011 Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011 The Manifold Tangent Classifier NeurIPS 2011 Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting JMLR 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization JMLR 2010