Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks
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DOI: 10.1109/tpami.2016.2613865
Abstract: We propose a probabilistic graphical framework for multi-instance learning (MIL) based on Markov networks. This framework can deal with different levels of labeling ambiguity (i.e., the portion of positive instances in a bag) in weakly… read more here.
Keywords: based markov; classification; markov networks; cardinality ... See more keywords