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"Manifold learning theory and applications" was published by CRC in 2012 - Boca Raton, Fla, it has 290 pages and the language of the book is English.


“Manifold learning theory and applications” Metadata:

  • Title: ➤  Manifold learning theory and applications
  • Authors:
  • Language: English
  • Number of Pages: 290
  • Publisher: CRC
  • Publish Date:
  • Publish Location: Boca Raton, Fla

“Manifold learning theory and applications” Subjects and Themes:

Edition Specifications:

  • Pagination: ➤  xxiv, 290 p., [16] p. of plates :

Edition Identifiers:

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"Manifold learning theory and applications" Table Of Contents:

  • 1- Spectral embedding methods for manifold learning -- Alan Julian Izenman
  • 2- Robust Laplacian eigenmaps using global information -- Shounak Roychowdhury and Joydeep Ghosh
  • 3- Density preserving maps -- Arkadas Ozakin, Nikolaos Vasiloglou II, Alexander Gray
  • 4- Sample complexity in manifold learning -- Hariharan Narayanan
  • 5- Manifold alignment -- Chang Wang, Peter Krafft, and Sridhar Mahadevan
  • 6- Large-scale manifold learning -- Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri, Henry Rowley
  • 7- Metric and heat kernel -- Wei Zeng, Jian Sun, Ren Guo, Feng Luo, and Xianfeng Gu
  • 8- Discreet Ricci flow for surface and 3-manifold -- Xianfeng Gu, Wei Zeng, Feng Luo, and Shing-Tung Yau
  • 9- 2D and 3D objects morphing using manifold techniques -- Chafik Samir, Pierre-Antoine Absil, and Paul Van Dooren
  • 10- Learning image manifolds from local features -- Ahmed Elgammal and Marwan Torki
  • 11- Human motion analysis applications of manifold learning -- Ahmed Elgammal and Chan Su Lee.

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