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nonlinear dimensionality reduction

11 papers

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Co-occurring keywords · papers mentioning both

manifold learning (7) dimensionality reduction (7) principal component analysis (2) spectral clustering (2) unsupervised learning (2) gaussian random field (1) graph laplacian regularization (1) random feature map (1) gaussian process latent variable model (1) iterative algorithm (1)

Papers

Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021 A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning JMLR 2018 Additive Component Analysis CVPR 2017 Quantifying the Informativeness of Similarity Measurements JMLR 2017 Streaming Kernel Principal Component Analysis AISTATS 2016 Randomized Nonlinear Component Analysis ICML 2014 On the Convergence of Maximum Variance Unfolding JMLR 2013 Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NeurIPS 2007