Manifold Learning Theory and Applications - Info and Reading Options
By Yunqian Ma and Yun Fu
"Manifold Learning Theory and Applications" was published by Taylor & Francis Group in 2011 - Boca Raton, Fla, it has 314 pages and the language of the book is English.
“Manifold Learning Theory and Applications” Metadata:
- Title: ➤ Manifold Learning Theory and Applications
- Authors: Yunqian MaYun Fu
- Language: English
- Number of Pages: 314
- Publisher: Taylor & Francis Group
- Publish Date: 2011
- Publish Location: Boca Raton, Fla
“Manifold Learning Theory and Applications” Subjects and Themes:
- Subjects: ➤ Manifolds (Mathematics) - Manifolds (mathematics) - Variétés (Mathématiques) - MATHEMATICS - Geometry - General - Maschinelles Lernen - Mannigfaltigkeit
Edition Identifiers:
- The Open Library ID: OL29126178M - OL16589294W
- ISBN-13: 9781466558878 - 9780429251368 - 9781439871102
- All ISBNs: 9781466558878 - 9780429251368 - 9781439871102
AI-generated Review of “Manifold Learning Theory and Applications”:
"Manifold Learning Theory and Applications" Description:
Open Data:
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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