Spectral analysis of alignment in manifold learning

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn V, Issue , 2005, Pages

  Zha, Hongyuan ^a   Zhang, Zhenyue ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL METHODS; MATRIX ALGEBRA; PERFORMANCE; SPECTRUM ANALYSIS;

ALIGNMENT MATRIX; GLOBAL COORDINATE SYSTEM; LEARNING METHODS; LOCAL COORDINATE SYSTEMS;

LEARNING SYSTEMS;

EID: 33646764208     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416492     Document Type: Conference Paper

References (6)

1. M.Brand. Charting a manifold. Advances in Neural Information Processing Systems 15, MIT Press, 2003.
2. D. Donoho and C. Grimes. Hessian Eigenmaps: new tools for nonlinear dimensionality reduction. Proceedings of National Academy of Science, 5591-5596, 2003.
3. S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290: 2323-2326, 2000.
4. Y. Teh and S. Roweis Automatic Alignment of Hidden Representations. Advances in Neural Information Processing Systems, 15, MIT Press, 2003.
5. J. Tenenbaum, V De Silva and J Langford. A global geometric framework for nonlinear dimension reduction. Science, 290:2319-2323, 2000
6. Z. Zhang and H. Zha. Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment. SIAM J. Scientific Computing, 26:313-338, 2004.