Manifold learning theory and applications
by
 
Ma, Yunqian., author.

Title
Manifold learning theory and applications

Author
Ma, Yunqian., author.

ISBN
9781439871102
 
9781466558878

Physical Description
1 online resource (xxiv, 290 pages)

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. [et al.] -- 7. Metric and heat kernel / Wei Zeng. [et al.] -- 8. Discrete ricci flow for surface and 3-manifold / Xianfeng Gu. [et al.] -- 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.

Subject Term
Manifolds (Mathematics)

Added Author
Fu, Yun.

Electronic Access
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LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book539409-1001QA613 .M3 2012CRC E-Books