Libri sul tema "MRF, Markov Random Fields"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-47 libri per l'attività di ricerca sul tema "MRF, Markov Random Fields".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi i libri di molte aree scientifiche e compila una bibliografia corretta.
Kindermann, Ross. Markov random fields and their applications. [Providence]: AMS, 2003.
Rama, Chellappa, e Jain Anil K. 1948-, a cura di. Markov random fields: Theory and application. Boston: Academic Press, 1993.
Andrew, Blake. Markov random fields for vision and image processing. Cambridge, Mass: MIT Press, 2011.
Andrew, Blake, Pushmeet Kohli e 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 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.
Gimelʹfarb, Georgiĭ Lʹvovich. Image textures and Gibbs random fields. Dordrecht: Kluwer Academic Publishers, 1999.
Hu, 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.
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.
Evstigneev, I. V. 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. 3a ed. London: Springer, 2009.
Gerhard, Winkler. Image analysis, random fields and Markov chain Monte Carlo methods: A mathematical introduction. 2a ed. Berlin: Springer, 2003.
Gerhard, Winkler. Image analysis, random fields and Markov chain Monte Carlo methods: A mathematical introduction. 2a ed. Berlin: Springer, 2003.
Gerhard, Winkler. Image analysis, random fields, and dynamic Monte Carlo methods: A mathematical introduction. Berlin: Springer-Verlag, 1995.
Françoise, Prêteux, Davidson Jennifer L, Dougherty Edward R e Society of Photo-optical Instrumentation Engineers., a cura di. Mathematical modeling and estimation techniques in computer vision: 22-23 July 1998, San Diego, California. Bellingham, Wash., USA: SPIE, 1998.
R, Dougherty Edward, e Society of Photo-optical Instrumentation Engineers., a cura di. 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., e Constance M. Elson. Markov Random Fields. Springer London, Limited, 2012.
Rozanov, Y. A., e 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, e Josiane Zerubia. Markov Random Fields in Image Segmentation. Now Publishers, 2012.
Rue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Rue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Rue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Rue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2005.
Rue, Havard, e Leonhard Held. Gaussian Markov Random Fields: Theory and Applications. Taylor & Francis Group, 2023.
Rue, Havard, e 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 e Carsten Rother, a cura di. 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 e Carsten Rother. Markov Random Fields for Vision and Image Processing. MIT Press, 2011.
Blake, Andrew, Pushmeet Kohli e Carsten Rother. Markov Random Fields for Vision and Image Processing. MIT Press, 2011.
Chornei, Ruslan K., Hans Daduna e Pavel S. Knopov. Control of Spatially Structured Random Processes and Random Fields with Applications. Springer, 2014.
Chornei, Ruslan K., Hans Daduna e Pavel S. Knopov. Control of Spatially Structured Random Processes and Random Fields with Applications. Springer London, Limited, 2006.
Snell, 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 London, Limited, 2012.
Snell, 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.
Axelrad, D. R. Foundations of the Probabilistic Mechanics of Discrete Media. Elsevier Science & Technology Books, 2016.
Wang, Sheng, Jinbo Xu e Jianzhu Ma. Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign. Springer, 2015.
Wang, Sheng, Jinbo Xu e Jianzhu Ma. Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign. Springer, 2015.
Chornei, Ruslan K., Hans Daduna e Pavel S. Knopov. 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.
Rue, Havard, e Leonhard Held. 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). 2a 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.