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Title:
Manifold learning theory and applications
Author:
Ma, Yunqian.
ISBN:
9781439871102
Publication Information:
Boca Raton, Fla. : CRC Press, 2012.
Physical Description:
xxiv, 290 p., [16] p. of plates : ill. (some col.).
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.
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