Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields
نویسندگان
چکیده
منابع مشابه
Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields
The standard approach to max-margin parameter learning for Markov random fields (MRFs) involves incrementally adding the most violated constraints during each iteration of the algorithm. This requires exact MAP inference, which is intractable for many classes of MRF. In this paper, we propose an exact MAP inference algorithm for binary MRFs containing a class of higher-order models, known as lo...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2015
ISSN: 0162-8828,2160-9292
DOI: 10.1109/tpami.2014.2366760