Minimax embeddings

Advances in Neural Information Processing Systems

Volumn , Issue , 2004, Pages

  Brand, Matthew ^a  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NUMBER THEORY; SINGULAR VALUE DECOMPOSITION;

CLASS OF METHODS; CONTINUOUS MAP; EIGENVALUE DECOMPOSITION; NEIGHBORHOOD GRAPHS; NONLINEAR DIMENSIONALITY REDUCTION; QUADRATIC FORM; ROBUST FORMULATIONS; SPECTRAL METHODS;

EIGENVALUES AND EIGENFUNCTIONS;

EID: 84899026451     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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3. Fan R.K. Chung. Spectral graph theory, volume 92 of CBMS Regional Conference Series in Mathematics. American Mathematical Society, 1997.
4. Joshua B. Tenenbaum, Vin de Silva, and John C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, December 22 2000.
5. Sam T. Roweis and Lawrence K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290:2323-2326, December 22 2000.
6. Yee Whye Teh and Sam T. Roweis. Automatic alignment of hidden representations. In Proc. NIPS-15, 2003.
7. Mikhail Belkin and Partha Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. volume 14 of Advances in Neural Information Processing Systems, 2002.
8. Xiafei He and Partha Niyogi. Locality preserving projections. Technical Report TR-2002-09, University of Chicago Computer Science, October 2002.
9. Matthew Brand. Charting a manifold. volume 15 of Advances in Neural Information Processing Systems, 2003.
10. G.W. Stewart and Ji-Guang Sun. Matrix perturbation theory. Academic Press, 1990.