Markov random field (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Markov random field" in English language version.

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acm.org

dl.acm.org

Banf, Michael; Blanz, Volker (2013-06-06). "Man made structure detection and verification of object recognition in images for the visually impaired". Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications. MIRAGE '13. New York, NY, USA: Association for Computing Machinery. pp. 1–8. doi:10.1145/2466715.2466732. ISBN 978-1-4503-2023-8.

ams.org

mathscinet.ams.org

Kindermann, Ross; Snell, J. Laurie (1980). Markov Random Fields and Their Applications (PDF). American Mathematical Society. ISBN 978-0-8218-5001-5. MR 0620955. Archived from the original (PDF) on 2017-08-10. Retrieved 2012-04-09.
Moussouris, John (1974). "Gibbs and Markov random systems with constraints". Journal of Statistical Physics. 10 (1): 11–33. Bibcode:1974JSP....10...11M. doi:10.1007/BF01011714. hdl:10338.dmlcz/135184. MR 0432132. S2CID 121299906.

books.google.com

Li, S. Z. (2009). Markov Random Field Modeling in Image Analysis. Springer. ISBN 9781848002791.

doi.org

Sherrington, David; Kirkpatrick, Scott (1975), "Solvable Model of a Spin-Glass", Physical Review Letters, 35 (35): 1792–1796, Bibcode:1975PhRvL..35.1792S, doi:10.1103/PhysRevLett.35.1792
Moussouris, John (1974). "Gibbs and Markov random systems with constraints". Journal of Statistical Physics. 10 (1): 11–33. Bibcode:1974JSP....10...11M. doi:10.1007/BF01011714. hdl:10338.dmlcz/135184. MR 0432132. S2CID 121299906.
Gandolfi, Alberto; Lenarda, Pietro (2016). "A note on Gibbs and Markov Random Fields with constraints and their moments". Mathematics and Mechanics of Complex Systems. 4 (3–4): 407–422. doi:10.2140/memocs.2016.4.407.
Taskar, Benjamin; Chatalbashev, Vassil; Koller, Daphne (2004), "Learning associative Markov networks", in Brodley, Carla E. (ed.), Proceedings of the Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004, ACM International Conference Proceeding Series, vol. 69, Association for Computing Machinery, p. 102, CiteSeerX 10.1.1.157.329, doi:10.1145/1015330.1015444, ISBN 978-1581138283, S2CID 11312524.
Banf, Michael; Blanz, Volker (2013-06-06). "Man made structure detection and verification of object recognition in images for the visually impaired". Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications. MIRAGE '13. New York, NY, USA: Association for Computing Machinery. pp. 1–8. doi:10.1145/2466715.2466732. ISBN 978-1-4503-2023-8.
Banf, Michael; Rhee, Seung Y. (2017-02-01). "Enhancing gene regulatory network inference through data integration with markov random fields". Scientific Reports. 7 (1): 41174. Bibcode:2017NatSR...741174B. doi:10.1038/srep41174. ISSN 2045-2322. PMC 5286517. PMID 28145456.
Metzler, Donald; Croft, W.Bruce (2005). A Markov random field model for term dependencies. Proceedings of the 28th ACM SIGIR Conference. Salvador, Brazil: ACM. pp. 472–479. doi:10.1145/1076034.1076115.

handle.net

hdl.handle.net

Moussouris, John (1974). "Gibbs and Markov random systems with constraints". Journal of Statistical Physics. 10 (1): 11–33. Bibcode:1974JSP....10...11M. doi:10.1007/BF01011714. hdl:10338.dmlcz/135184. MR 0432132. S2CID 121299906.

harvard.edu

ui.adsabs.harvard.edu

Sherrington, David; Kirkpatrick, Scott (1975), "Solvable Model of a Spin-Glass", Physical Review Letters, 35 (35): 1792–1796, Bibcode:1975PhRvL..35.1792S, doi:10.1103/PhysRevLett.35.1792
Moussouris, John (1974). "Gibbs and Markov random systems with constraints". Journal of Statistical Physics. 10 (1): 11–33. Bibcode:1974JSP....10...11M. doi:10.1007/BF01011714. hdl:10338.dmlcz/135184. MR 0432132. S2CID 121299906.
Banf, Michael; Rhee, Seung Y. (2017-02-01). "Enhancing gene regulatory network inference through data integration with markov random fields". Scientific Reports. 7 (1): 41174. Bibcode:2017NatSR...741174B. doi:10.1038/srep41174. ISSN 2045-2322. PMC 5286517. PMID 28145456.

icml.cc

"Two classic paper prizes for papers that appeared at ICML 2013". ICML. 2013. Retrieved 15 December 2014.

nih.gov

ncbi.nlm.nih.gov

Banf, Michael; Rhee, Seung Y. (2017-02-01). "Enhancing gene regulatory network inference through data integration with markov random fields". Scientific Reports. 7 (1): 41174. Bibcode:2017NatSR...741174B. doi:10.1038/srep41174. ISSN 2045-2322. PMC 5286517. PMID 28145456.

pubmed.ncbi.nlm.nih.gov

Banf, Michael; Rhee, Seung Y. (2017-02-01). "Enhancing gene regulatory network inference through data integration with markov random fields". Scientific Reports. 7 (1): 41174. Bibcode:2017NatSR...741174B. doi:10.1038/srep41174. ISSN 2045-2322. PMC 5286517. PMID 28145456.

nips.cc

papers.nips.cc

Duchi, John C.; Tarlow, Daniel; Elidan, Gal; Koller, Daphne (2006), "Using Combinatorial Optimization within Max-Product Belief Propagation", in Schölkopf, Bernhard; Platt, John C.; Hoffman, Thomas (eds.), Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006, Advances in Neural Information Processing Systems, vol. 19, MIT Press, pp. 369–376.

polytechnique.fr

cmap.polytechnique.fr

Kindermann, Ross; Snell, J. Laurie (1980). Markov Random Fields and Their Applications (PDF). American Mathematical Society. ISBN 978-0-8218-5001-5. MR 0620955. Archived from the original (PDF) on 2017-08-10. Retrieved 2012-04-09.

psu.edu

citeseerx.ist.psu.edu

Taskar, Benjamin; Chatalbashev, Vassil; Koller, Daphne (2004), "Learning associative Markov networks", in Brodley, Carla E. (ed.), Proceedings of the Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004, ACM International Conference Proceeding Series, vol. 69, Association for Computing Machinery, p. 102, CiteSeerX 10.1.1.157.329, doi:10.1145/1015330.1015444, ISBN 978-1581138283, S2CID 11312524.
Zhang & Zakhor, Richard & Avideh (2014). "Automatic Identification of Window Regions on Indoor Point Clouds Using LiDAR and Cameras". VIP Lab Publications. CiteSeerX 10.1.1.649.303.

semanticscholar.org

api.semanticscholar.org

Moussouris, John (1974). "Gibbs and Markov random systems with constraints". Journal of Statistical Physics. 10 (1): 11–33. Bibcode:1974JSP....10...11M. doi:10.1007/BF01011714. hdl:10338.dmlcz/135184. MR 0432132. S2CID 121299906.
Taskar, Benjamin; Chatalbashev, Vassil; Koller, Daphne (2004), "Learning associative Markov networks", in Brodley, Carla E. (ed.), Proceedings of the Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004, ACM International Conference Proceeding Series, vol. 69, Association for Computing Machinery, p. 102, CiteSeerX 10.1.1.157.329, doi:10.1145/1015330.1015444, ISBN 978-1581138283, S2CID 11312524.

tiny-clues.eu

Petitjean, F.; Webb, G.I.; Nicholson, A.E. (2013). Scaling log-linear analysis to high-dimensional data (PDF). International Conference on Data Mining. Dallas, TX, USA: IEEE.

web.archive.org

Kindermann, Ross; Snell, J. Laurie (1980). Markov Random Fields and Their Applications (PDF). American Mathematical Society. ISBN 978-0-8218-5001-5. MR 0620955. Archived from the original (PDF) on 2017-08-10. Retrieved 2012-04-09.

worldcat.org

search.worldcat.org

Banf, Michael; Rhee, Seung Y. (2017-02-01). "Enhancing gene regulatory network inference through data integration with markov random fields". Scientific Reports. 7 (1): 41174. Bibcode:2017NatSR...741174B. doi:10.1038/srep41174. ISSN 2045-2322. PMC 5286517. PMID 28145456.