A geometric viewpoint of manifold learning-Reference-Cited by-同舟云学术

A geometric viewpoint of manifold learning

Published:2015-03-12 Issue:1 Volume:2 Page:
ISSN:2196-0089
Container-title:Applied Informatics
language:en
Short-container-title:Appl Inform

Author:

Lin Binbin,He Xiaofei,Ye Jieping

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s40535-015-0006-6.pdf

Reference41 articles.

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2. Belkin, M, Niyogi P (2005) Towards a theoretical foundation for Laplacian-based manifold methods In: COLT, 486–500.. Curran Associates, Inc.

3. Belkin, M, Niyogi P (2007) Convergence of Laplacian eigenmaps In: Advances in Neural Information Processing Systems 19, 129–136.. Curran Associates, Inc.

4. Belkin, M, Matveeva I, Niyogi P (2004) Regularization and semi-supervised learning on large graphs In: COLT, 624–638.. Curran Associates, Inc.

5. Belkin, M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from examples. J Machine Learning Res 7: 2399–2434.

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