Книги з теми "MRF, Markov Random Fields"

Snell, J. Laurie (James Laurie), 1925-2011, ed. Markov random fields and their applications. [Providence]: AMS, 2003.

Rama, Chellappa, and Jain Anil K. 1948-, eds. Markov random fields: Theory and application. Boston: Academic Press, 1993.

Markov random fields for vision and image processing. Cambridge, Mass: MIT Press, 2011.

Andrew, Blake, Pushmeet Kohli, and Carsten Rother. Markov random fields for vision and image processing. Cambridge, Mass: MIT Press, 2011.

Li, S. Z. Markov random field modeling in computer vision. New York: Springer-Verlag, 1995.

Xu, Jinbo, Sheng Wang, and 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.

Image textures and Gibbs random fields. Dordrecht: Kluwer Academic Publishers, 1999.

Sui ji huan jing zhong de Ma'erkefu guo cheng: Markov processes in random environments = Suiji huanjingzhong de Maerkefu guocheng. Beijing Shi: Gao deng jiao yu chu ban she, 2011.

Winkler, 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.

1937-, Greenwood P. E., ed. Markov fields over countable partially ordered sets: Extrema and splitting. Providence, R.I: American Mathematical Society, 1994.

Gimel'farb, Georgy L. Image Textures and Gibbs Random Fields. Dordrecht: Springer Netherlands, 1999.

Li, S. Z. Markov random field modeling in image analysis. 3rd ed. London: Springer, 2009.

1946-, Winkler Gerhard, ed. Image analysis, random fields and Markov chain Monte Carlo methods: A mathematical introduction. 2nd ed. Berlin: Springer, 2003.

Gerhard, Winkler. Image analysis, random fields and Markov chain Monte Carlo methods: A mathematical introduction. 2nd ed. Berlin: Springer, 2003.

Image analysis, random fields, and dynamic Monte Carlo methods: A mathematical introduction. Berlin: Springer-Verlag, 1995.

Françoise, Prêteux, Davidson Jennifer L, Dougherty Edward R, and 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.

R, Dougherty Edward, and 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.

Rozanov, Y. A., and Constance M. Elson. Markov Random Fields. Springer London, Limited, 2012.

Rozanov, Y. A., and Constance M. Elson. Markov Random Fields. Springer New York, 2011.

Chellappa, Rama. Markov Random Fields: Theory and Application. Academic Pr, 1993.

Chellappa, Rama. Markov Random Fields: Theory and Application. Academic Pr, 1993.

Kato, Zoltan, and Josiane Zerubia. Markov Random Fields in Image Segmentation. Now Publishers, 2012.

Rue, Havard, and Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.

Rue, Havard, and Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.

Rue, Havard, and Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.

Rue, Havard, and Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.

Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2023.

Rue, Havard, and Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.

Rue, Havard. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.

Blake, Andrew, Pushmeet Kohli, and 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.

Blake, Andrew, Pushmeet Kohli, and Carsten Rother. Markov Random Fields for Vision and Image Processing. MIT Press, 2011.

Blake, Andrew, Pushmeet Kohli, and Carsten Rother. Markov Random Fields for Vision and Image Processing. MIT Press, 2011.

Chornei, Ruslan K., Hans Daduna, and Pavel S. Knopov. Control of Spatially Structured Random Processes and Random Fields with Applications. Springer, 2014.

Control of Spatially Structured Random Processes and Random Fields with Applications. Springer London, Limited, 2006.

Snell, J. Laurie, and John G. Kemeny. Denumerable Markov Chains: With a Chapter of Markov Random Fields by David Griffeath. Springer London, Limited, 2012.

Snell, J. Laurie, and John G. Kemeny. Denumerable Markov Chains: With a Chapter of Markov Random Fields by David Griffeath. Springer New York, 2012.

Axelrad, D. R. Foundations of the Probabilistic Mechanics of Discrete Media. Elsevier Science & Technology Books, 2016.

Wang, Sheng, Jinbo Xu, and Jianzhu Ma. Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign. Springer, 2015.

Wang, Sheng, Jinbo Xu, and Jianzhu Ma. Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign. Springer, 2015.

Control of Spatially Structured Random Processes and Random Fields with Applications (Nonconvex Optimization and Its Applications). Springer, 2006.

Winkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction. Springer London, Limited, 2012.

Winkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction. Springer Berlin / Heidelberg, 2012.

Gaussian Markov Random Fields: Theory and Applications (Monographs on Statistics and Applied Probability). Chapman & Hall/CRC, 2005.

Winkler, Gerhard. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability). 2nd ed. Springer, 2006.

Brémaud, Pierre. Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer International Publishing AG, 2017.

Brémaud, Pierre. Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer, 2018.

Bremaud, Pierre. Discrete Probability - Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Springer, 2017.