Kernels in structured multi-feature spaces for image retrieval

Electronics Letters

Volumn 42, Issue 15, 2006, Pages 856-857

  Djordjevic, D ^a   Izquierdo, E ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA PROCESSING; IMAGE PROCESSING; INFORMATION DISSEMINATION; PROBLEM SOLVING; VECTORS;

CONVEX OPTIMISATION; IMAGES CLASSIFICATION; KERNELS; MULTI-FEATURE SPACES;

IMAGE RETRIEVAL;

EID: 33746367098     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20061454     Document Type: Article

References (4)

1. Vapnik, V.: ' Statistical learning theory ', (Wiley, New York, 1998)
2. Scholkopf, B.: ' The kernel trick for distances ', Proc. Neural Information Processing Systems, 2000, p. 301-307
3. Watkins, C.: ' Dynamic alignment kernels ', Smola, A.J., Barllett, P.C., Schölkopf, B., Schuumans, D., Advances in large margin classifiers, Cambridge, MA, 2000), p. 39-50
4. Shawe-Taylor, J., and Cristianini, N.: ' Kernel methods for pattern analysis ', (Cambridge University Press, 2004)