Manifold learning theory and applications
By: [edited by] Yunqian Ma, Yun Fu
Publisher: CRC; Taylor & Francis [distributor]
Published: 2012
Place of publication: Boca Raton, Fla; London
Language: eng
Number of pages: 290
ISBN-13: 9781439871096
Subjects: Manifolds (Mathematics)
Notes: Includes bibliographical references and index.
Table of contents: title: Spectral embedding methods for manifold learning  -- Alan Julian Izenman; title: Robust Laplacian eigenmaps using global information  -- Shounak Roychowdhury and Joydeep Ghosh; title: Density preserving maps  -- Arkadas Ozakin, Nikolaos Vasiloglou II, Alexander Gray; title: Sample complexity in manifold learning  -- Hariharan Narayanan; title: Manifold alignment  -- Chang Wang, Peter Krafft, and Sridhar Mahadevan; title: Large-scale manifold learning  -- Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri, Henry Rowley; title: Metric and heat kernel  -- Wei Zeng, Jian Sun, Ren Guo, Feng Luo, and Xianfeng Gu; title: Discreet Ricci flow for surface and 3-manifold  -- Xianfeng Gu, Wei Zeng, Feng Luo, and Shing-Tung Yau; title: 2D and 3D objects morphing using manifold techniques  -- Chafik Samir, Pierre-Antoine Absil, and Paul Van Dooren; title: Learning image manifolds from local features  -- Ahmed Elgammal and Marwan Torki; title: Human motion analysis applications of manifold learning -- Ahmed Elgammal and Chan Su Lee.