Nonlinear classification of data
2012 (English)Patent (Other (popular science, discussion, etc.))
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
IdentifiersURN: urn:nbn:se:kth:diva-74146OAI: oai:DiVA.org:kth-74146DiVA: diva2:489171
QS 20152012-02-022012-02-022015-01-21Bibliographically approved