Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2007-02-28
2010-11-23
Mehta, Bhavesh M (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S103000, C382S155000, C382S156000, C382S160000, C382S224000, C382S291000
Reexamination Certificate
active
07840061
ABSTRACT:
A method adapts a boosted classifier to new samples. A boosted classifier is trained using initial samples. The boosted classifier is a combination of weak classifiers. Each weak classifier of the boosted classifier is updated adaptively by adding contributions of new samples and deleting contributions old samples.
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Parag Toufiq
Porikli Fatih M.
Brinkman Dirk
Mehta Bhavesh M
Mitsubishi Electric Research Laboratories Inc.
Newman Michael A
Vinokur Gene
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