SYSTEMS AND METHODS FOR IMAGE CLASSIFICATION
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United States of America Patent
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Aug 10, 2017
app pub date -
Feb 5, 2016
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Feb 5, 2015
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Abstract
An image classifier comprises a first classifier and a second classifier. The first classifier comprises L individual classifiers, which are trained at different, respective image resolutions from a first full-resolution level to a lowest-resolution level. Outputs of the first set of classifiers are used to train the second classifier at the full-resolution level. Accordingly, the second classifier exploits contextual information at multiple different image resolutions. The classifiers may be trained to optimize a joint posterior probability at multiple resolutions.
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