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MIS-Boost: Multiple Instance Selection Boosting

Published in arXiv (Cornell University) • Sep 12, 2011
NobleIDNI4P40W20R64S47
Authors:
Emre Akbaş
,
Bernard Ghanem
,
Narendra Ahuja

Abstract

In this paper, we present a new multiple instance learning (MIL) method, called MIS-Boost, which learns discriminative instance prototypes by explicit instance selection in a boosting framework. Unlike previous instance selection based MIL methods, we do not restrict the prototypes to a discrete set...

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