The Laplacian spectral classifier

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

Volumn V, Issue , 2005, Pages

  Jenssen, Robert ^a   Erdogmus, Deniz ^b   Principe, Jose C ^b   Eltoft, Torbjørn ^a  

^a UNIVERSITY OF TROMSØ   (Norway)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EIGENVALUES AND EIGENFUNCTIONS; LAPLACE TRANSFORMS; PROBABILITY; REAL TIME SYSTEMS;

LAPLACIAN SPECTRAL CLASSIFIER; PROBABILITY DENSITIES; TEST DATA;

SPECTRUM ANALYZERS;

EID: 33646783326     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416306     Document Type: Conference Paper

References (6)

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2. C. Williams and M. Seeger, "Using the Nystr̈m Method to Speed Up Kernel Machines," in Advances in Neural Information Processing Systems 13, MIT Press, 2001, pp. 682-688.
3. R. Jenssen, D. Erdogmus, J. C. Principe, and T. Eltoft, "The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space," in Advances in Neural Information Processing Systems 17, MIT Press, 2005.
4. V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, 1995.
5. B. W. Silverman, Density Estimation for Statistics and Data Analysis, Chapman and Hall, London, 1986.
6. S. Theodoridis and K. Koutroumbas, Pattern Recognition, Academic Press, 1999.