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nonlinear dimension reduction

6 papers

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Co-occurring keywords · papers mentioning both

manifold learning (3) dimensionality reduction (2) stress function (1) graph drawing (1) geodesic distance (1) kernel methods (1) spherical representation (1) asymmetric kernel (1) magnetic transform (1) spectrum pursuit (1)

Papers

Spherical Rotation Dimension Reduction with Geometric Loss Functions JMLR 2024 Diffusion Representation for Asymmetric Kernels via Magnetic Transform NeurIPS 2023 Latent variable modeling with random features AISTATS 2021 Matrix factorisation and the interpretation of geodesic distance NeurIPS 2021 Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020 Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013