Results 291 to 300 of about 256,437 (324)
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2015
This chapter presents an introduction to Markov random fields (MRFs), also known as Markov networks, which are undirected graphical models. We describe how a Markov random field is represented, including its structure and parameters, with emphasis on regular MRFs.
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This chapter presents an introduction to Markov random fields (MRFs), also known as Markov networks, which are undirected graphical models. We describe how a Markov random field is represented, including its structure and parameters, with emphasis on regular MRFs.
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Subsampling of Markov random fields
Journal of Visual Communication and Image Representation, 1992openaire +1 more source
Bulletin of the London Mathematical Society, 1984
Robert J. Adler, Yu A. Rozanov
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Robert J. Adler, Yu A. Rozanov
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Hidden markov random field model selection criteria based on mean field-like approximations
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003Florence Forbes
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Computation of Image Spatial Entropy Using Quadrilateral Markov Random Field
IEEE Transactions on Image Processing, 2009Qolamreza R Razlighi +2 more
exaly