Image analysis – Learning systems
Patent
1997-06-26
2000-10-17
Bella, Matthew
Image analysis
Learning systems
382156, 382225, 382253, G06K 900
Patent
active
061343447
ABSTRACT:
A method and apparatus is described for improving the efficiency of any machine that uses an algorithm that maps to a higher dimensional space in which a given set of vectors is used in a test phase. In particular, reduced set vectors are used. These reduced set vectors are different from the vectors in the set and are determined pursuant to an optimization approach other than the eigenvalue computation used for homogeneous quadratic kernels. An illustrative embodiment is described in the context of a support vector machine (SVM).
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C. J. Burges "Simplified Support Vector Decision Rules" Machine Learning, Proceedings of the Thirteenth International Conference (ICML '96), Proceedings of the Thirteenth International Conference on Machine Learning, Bari, Italy, Jul. 3-6, 1996, pp. 71-77, XP002087853 1996, San Francisco, CA, USA, Morgan Kaufmann Publishers, USA *the whole document* particularly relevant if taken alone.
C. J. C. Burges, "A tutorial on support vector machines for pattern recognition", Data Mining and Knowledge Discovery, 1998, Kluwer Academic Publishers, Netherlands, vol. 2, No. 2, pp. 121-167, XP))2087854, ISSN 1384-5810 *the whole document* theory or principle underlying the invention.
Bella Matthew
Chawan Sheela
Lucent Technologies - Inc.
Opalach Joseph J.
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