Classification with kernel Mahalanobis distance classifiers

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2010, Pages 351-361

  Haasdonk, Bernard ^a   Pȩkalska, Elzbieta ^b  

^a UNIVERSITY OF MÜNSTER   (Germany)

^b NONE

Author keywords

Kernel methods; Mahalanobis distance; Quadratic discriminant

Indexed keywords

COVARIANCE OPERATORS; EXPERIMENTAL EVIDENCE; KERNEL METHODS; MAHALANOBIS DISTANCES; NONLINEAR KERNELS; QUADRATIC DISCRIMINANTS;

DATA HANDLING;

EID: 80052408126     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-01044-6-32     Document Type: Conference Paper

References (8)

1. Duda, R. O., Hart, P. E., & Stork, D. G. (2001). Pattern classification (2nd ed.) New York: Wiley.
2. Mika, S., Rätsch, G., Weston, J., Schölkopf, B., & Müller, K.-R. (1999). Fisher discriminant analysis with kernels. In Neural Networks for Signal Processing (pp. 41-48).
3. P, ekalska, E., & Duin, R. P. W. (2005). The dissimilarity representation for pattern recognition. Foundations and applications. Singapore: World Scientific.
4. P, ekalska, E., & Haasdonk, B. (2009). Kernel discriminant analysis for positive definite and indefinite kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(6), 1017-1032.
5. Ruiz, A.,& Lopez-de Teruel, P. E. (2001). Nonlinear kernel-based statistical pattern analysis. IEEE Transactions on Neural Networks, 12(1), 16-32.
6. Schölkopf, B., & Smola, A. J. (2002). Learning with kernels. Cambridge, MA: MIT.
7. Shawe-Taylor, J., & Cristianini, N. (2004). Kernel methods for pattern analysis. Cambridge, UK: Cambridge University Press.
8. Wang, J., Plataniotis, K. N., Lu, J.,& Venetsanopoulos, A. N. (2008). Kernel quadratic discriminant analysis for small sample size problem. Pattern Recognition, 41(5), 1528-1538.