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manifold learning

402 papers

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Also known as

ML

Co-occurring keywords

dimensionality reduction (720) representation learning (6174) riemannian manifold (169) semi-supervised learning (2331) unsupervised learning (3255) metric learning (1189) generative model (2889) spectral method (204) normalizing flow (354) graph laplacian (109)

Papers

Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NIPS 2009
Learning transport operators for image manifolds NIPS 2009
Nonlinear Learning using Local Coordinate Coding NIPS 2009
Regularized Learning with Networks of Features NIPS 2008
Manifold Learning: The Price of Normalization JMLR 2008
Diffeomorphic Dimensionality Reduction NIPS 2008
Non-parametric Regression Between Manifolds NIPS 2008
Spectral Hashing NIPS 2008
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
Learning the 2-D Topology of Images NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007
People Tracking with the Laplacian Eigenmaps Latent Variable Model NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007
Random Projections for Manifold Learning NIPS 2007
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007
Learning to Traverse Image Manifolds NIPS 2006
Unsupervised Regression with Applications to Nonlinear System Identification NIPS 2006
Learning on Graph with Laplacian Regularization NIPS 2006
Greedy Layer-Wise Training of Deep Networks NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
Convergence of Laplacian Eigenmaps NIPS 2006
MLLE: Modified Locally Linear Embedding Using Multiple Weights NIPS 2006