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Nonlinear classification of data
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2012 (English)Patent (Other (popular science, discussion, etc.))
Abstract [en]

The present invention relates to a method for nonlinear classification of high dimensional data by means of boosting, whereby a target class with significant intra-class variation is classified against a large background class, where the boosting algorithm produces a strong classifier, the strong classifier being a linear combination of weak classifiers. The present invention specifically teaches that weak classifiers classifiers h 1, h 2, that individually more often than not generate a positive on instances within the target class and a negative on instances outside of the target class, but that never generate a positive simultaneously on one and the same target instance, are categorized as a group of anti-correlated classifiers, and that the occurrence of anti-correlated classifiers from the same group will generate a negative.

Place, publisher, year, edition, pages
2012.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-74146OAI: oai:DiVA.org:kth-74146DiVA: diva2:489171
Patent
WO 2012169955
Note

QS 2015

Available from: 2012-02-02 Created: 2012-02-02 Last updated: 2015-01-21Bibliographically approved

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