Classifier selection in a family of polyhedron classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5856 LNCS, Issue , 2009, Pages 441-448

  Takahashi, Tetsuji ^a   Kudo, Mineichi ^a   Nakamura, Atsuyoshi ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIER SELECTION; COMPUTATIONAL TIME; CONVEX HULL; ESTIMATED ERROR; FINITE SET; HIGH DIMENSIONALITY; LEAVE-ONE-OUT; TIME COMPLEXITY; UPPER BOUND;

CLASSIFIERS; COMPUTER APPLICATIONS; COMPUTER VISION;

COMPUTATIONAL GEOMETRY;

EID: 78149476611     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10268-4_51     Document Type: Conference Paper

References (7)

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4. Ghosh, P., Kumar, K.: Support function representation of convex bodies, its application in geometric computing, and some related representations. Computer Vision and Image Understanding 72, 379-403 (1998)
5. Asuncion, A., Newman, D.: UCI machine learning repository (2007)
6. Zhou, D., Xiao, B., Zhou, H.: Global geometry of svm classifiers. Technical report, AI Lab, Institute of Automation, Chinese Academy of Sciences (2002)
7. Theodoridis, S., Mavroforakis, M.: Reduced convex hulls: A geometric approach to support vector machines. IEEE Signal Processing Magazine 1 (2007)