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Dimension reduction / Differential topology / Computational statistics / Nonlinear dimensionality reduction / Normal distribution / Manifold / Differentiable manifold / Principal component analysis / Divergence / Statistics / Multivariate statistics / Data analysis


JMLR: Workshop and Conference Proceedings 29:1–16, 2013 ACML 2013 Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning
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Document Date: 2013-11-09 20:30:18


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Computing Science University of Alberta Edmonton / /

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Canada Dale Schuurmans dale / /

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Computing Science University of Alberta Edmonton / Centre for Intelligent Machines McGill University Montr´eal / /

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Tu Bao Ho Abstract Manifold / Cheng Soon Ong / Karim T. Abou / Frank Ferrie / Alberta Edmonton / /

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Quebec / /

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manifold learning algorithm / bioinformatics / metric learning algorithms / Av / graph algorithm / local learning algorithms / type algorithm / manifold learning algorithms / machine learning / metric learning algorithm / two algorithms / /

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