manifold learning

Inductive Hashing on Manifolds CVPR 2013 Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013 Large-scale SVD and Manifold Learning JMLR 2013 Learning a Manifold as an Atlas CVPR 2013 Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013 Manifold Based Face Synthesis from Sparse Samples ICCV 2013 Manifold-based Similarity Adaptation for Label Propagation NeurIPS 2013 Manifold Preserving Hierarchical Topic Models for Quantization and Approximation ICML 2013 Maximum Variance Correction with Application to A* Search ICML 2013 Measuring Crowd Collectiveness CVPR 2013 MKPLS: Manifold Kernel Partial Least Squares for Lipreading and Speaker Identification CVPR 2013 Non-rigid Structure from Motion with Diffusion Maps Prior CVPR 2013 On A Nonlinear Generalization of Sparse Coding and Dictionary Learning ICML 2013 On the Convergence of Maximum Variance Unfolding JMLR 2013 Parallel Vector Field Embedding JMLR 2013 Probabilistic Principal Geodesic Analysis NeurIPS 2013 Regularization-Free Principal Curve Estimation JMLR 2013 Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem CVPR 2013 Sparse Subspace Denoising for Image Manifolds CVPR 2013 Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013 Tapkee: An Efficient Dimension Reduction Library JMLR 2013 Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots CVPR 2013 A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012 A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012