Texture modelling with nested high-order Markov–Gibbs random fields
نویسندگان
چکیده
منابع مشابه
Texture modelling with nested high-order Markov-Gibbs random fields
Currently, Markov–Gibbs random field (MGRF) image models which include high-order interactions are almost always built by modelling responses of a stack of local linear filters. Actual interaction structure is specified implicitly by the filter coefficients. In contrast, we learn an explicit high-order MGRF structure by considering the learning process in terms of general exponential family dis...
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ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2016
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2015.11.003