Conditionally positive definite kernels for SVM based image recognition

IEEE International Conference on Multimedia and Expo, ICME 2005

Volumn 2005, Issue , 2005, Pages 113-116

  Boughorbel, Sabri ^a   Tarel, Jean Philippe ^a   Boujemaa, Nozha ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; LEARNING SYSTEMS; OPTIMIZATION; PATTERN RECOGNITION;

KERNEL; SUPPORT VECTOR MACHINE (SVM);

IMAGE RECONSTRUCTION;

EID: 33750537410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2005.1521373     Document Type: Conference Paper

References (5)

1. V. Vapnik, Statistical Learning Theory, Wiley, New York, 1998.
2. B. Scholkopf and A. Smola, Learning with kernels, MIT University Press Cambridge, 2002.
3. B. Scholkopf, 'The kernel trick for distances," in NIPS, 2000, pp. 301-307.
4. C. Berg, J. P. R. Christensen, and P. Ressel, Harmonic Analysis on Semigroups: Theory of Positive Defi nite and Related Functions, Springer-Verlag, 1984.
5. O. Chapelle, P. Haffner, and V. Vapnik, 'Svms for histogram-based image classification," IEEE Transactions on Neural Networks, 1999. special issue on Support Vectors, 1999.