Livros sobre o tema "MRF, Markov Random Fields"
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Snell, J. Laurie (James Laurie), 1925-2011, ed. Markov random fields and their applications. [Providence]: AMS, 2003.
Encontre o texto completo da fonteRama, Chellappa, e Jain Anil K. 1948-, eds. Markov random fields: Theory and application. Boston: Academic Press, 1993.
Encontre o texto completo da fonteAndrew, Blake. Markov random fields for vision and image processing. Cambridge, Mass: MIT Press, 2011.
Encontre o texto completo da fonteAndrew, Blake, Pushmeet Kohli e Carsten Rother. Markov random fields for vision and image processing. Cambridge, Mass: MIT Press, 2011.
Encontre o texto completo da fonteLi, S. Z. Markov random field modeling in computer vision. New York: Springer-Verlag, 1995.
Encontre o texto completo da fonteXu, Jinbo, Sheng Wang e Jianzhu Ma. Protein Homology Detection Through Alignment of Markov Random Fields. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14914-1.
Texto completo da fonteImage textures and Gibbs random fields. Dordrecht: Kluwer Academic Publishers, 1999.
Encontre o texto completo da fonteHu, Dihe. Sui ji huan jing zhong de Ma'erkefu guo cheng =: Markov processes in random environments = Suiji huanjingzhong de Maerkefu guocheng. 8a ed. Beijing Shi: Gao deng jiao yu chu ban she, 2011.
Encontre o texto completo da fonteWinkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55760-6.
Texto completo da fonteEvstigneev, I. V. Markov fields over countable partially ordered sets: Extrema and splitting. Providence, R.I: American Mathematical Society, 1994.
Encontre o texto completo da fonteGimel'farb, Georgy L. Image Textures and Gibbs Random Fields. Dordrecht: Springer Netherlands, 1999.
Encontre o texto completo da fonteLi, S. Z. Markov random field modeling in image analysis. 3a ed. London: Springer, 2009.
Encontre o texto completo da fonteGerhard, Winkler. Image analysis, random fields and Markov chain Monte Carlo methods: A mathematical introduction. 2a ed. Berlin: Springer, 2003.
Encontre o texto completo da fonteGerhard, Winkler. Image analysis, random fields and Markov chain Monte Carlo methods: A mathematical introduction. 2a ed. Berlin: Springer, 2003.
Encontre o texto completo da fonteGerhard, Winkler. Image analysis, random fields, and dynamic Monte Carlo methods: A mathematical introduction. Berlin: Springer-Verlag, 1995.
Encontre o texto completo da fonteFrançoise, Prêteux, Davidson Jennifer L, Dougherty Edward R e Society of Photo-optical Instrumentation Engineers., eds. Mathematical modeling and estimation techniques in computer vision: 22-23 July 1998, San Diego, California. Bellingham, Wash., USA: SPIE, 1998.
Encontre o texto completo da fonteR, Dougherty Edward, e Society of Photo-optical Instrumentation Engineers., eds. Neural, morphological, and stochastic methods in image and signal processing: 10-11 July, 1995, San Diego, California. Bellingham, Wash., USA: SPIE, 1995.
Encontre o texto completo da fonteRozanov, Y. A., e Constance M. Elson. Markov Random Fields. Springer London, Limited, 2012.
Encontre o texto completo da fonteRozanov, Y. A., e Constance M. Elson. Markov Random Fields. Springer New York, 2011.
Encontre o texto completo da fonteChellappa, Rama. Markov Random Fields: Theory and Application. Academic Pr, 1993.
Encontre o texto completo da fonteChellappa, Rama. Markov Random Fields: Theory and Application. Academic Pr, 1993.
Encontre o texto completo da fonteKato, Zoltan, e Josiane Zerubia. Markov Random Fields in Image Segmentation. Now Publishers, 2012.
Encontre o texto completo da fonteRue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Encontre o texto completo da fonteRue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Encontre o texto completo da fonteRue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Encontre o texto completo da fonteRue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Encontre o texto completo da fonteGaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2023.
Encontre o texto completo da fonteRue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Encontre o texto completo da fonteRue, Havard. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Encontre o texto completo da fonteBlake, Andrew, Pushmeet Kohli e Carsten Rother, eds. Markov Random Fields for Vision and Image Processing. The MIT Press, 2011. http://dx.doi.org/10.7551/mitpress/8579.001.0001.
Texto completo da fonteBlake, Andrew, Pushmeet Kohli e Carsten Rother. Markov Random Fields for Vision and Image Processing. MIT Press, 2011.
Encontre o texto completo da fonteBlake, Andrew, Pushmeet Kohli e Carsten Rother. Markov Random Fields for Vision and Image Processing. MIT Press, 2011.
Encontre o texto completo da fonteChornei, Ruslan K., Hans Daduna e Pavel S. Knopov. Control of Spatially Structured Random Processes and Random Fields with Applications. Springer, 2014.
Encontre o texto completo da fonteControl of Spatially Structured Random Processes and Random Fields with Applications. Springer London, Limited, 2006.
Encontre o texto completo da fonteSnell, J. Laurie, e John G. Kemeny. Denumerable Markov Chains: With a Chapter of Markov Random Fields by David Griffeath. Springer London, Limited, 2012.
Encontre o texto completo da fonteSnell, J. Laurie, D. S. Griffeath, John G. Kemeny e Anthony W. Knapp. Denumerable Markov Chains: With a Chapter of Markov Random Fields by David Griffeath. Springer New York, 2012.
Encontre o texto completo da fonteAxelrad, D. R. Foundations of the Probabilistic Mechanics of Discrete Media. Elsevier Science & Technology Books, 2016.
Encontre o texto completo da fonteWang, Sheng, Jinbo Xu e Jianzhu Ma. Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign. Springer, 2015.
Encontre o texto completo da fonteWang, Sheng, Jinbo Xu e Jianzhu Ma. Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign. Springer, 2015.
Encontre o texto completo da fonteControl of Spatially Structured Random Processes and Random Fields with Applications (Nonconvex Optimization and Its Applications). Springer, 2006.
Encontre o texto completo da fonteWinkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction. Springer London, Limited, 2012.
Encontre o texto completo da fonteWinkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction. Springer Berlin / Heidelberg, 2012.
Encontre o texto completo da fonteGaussian Markov Random Fields: Theory and Applications (Monographs on Statistics and Applied Probability). Chapman & Hall/CRC, 2005.
Encontre o texto completo da fonteWinkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability). 2a ed. Springer, 2006.
Encontre o texto completo da fonteBrémaud, Pierre. Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer International Publishing AG, 2017.
Encontre o texto completo da fonteBrémaud, Pierre. Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer, 2018.
Encontre o texto completo da fonteBremaud, Pierre. Discrete Probability - Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer, 2017.
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