conftrace_

nonlinear dimensionality reduction

7 papers

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Co-occurring keywords

manifold learning (403) dimensionality reduction (720) principal component analysis (316) spectral clustering (305) correlation matrix (5) linear separability (21) reduced order model (4) kolmogorov n-width (1) informativeness measure (2) kernel parameter (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
Randomized Nonlinear Component Analysis ICML 2014
On the Convergence of Maximum Variance Unfolding JMLR 2013
Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011