{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T13:16:07Z","timestamp":1674047767671},"reference-count":33,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2003,9,1]],"date-time":"2003-09-01T00:00:00Z","timestamp":1062374400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Image and Vision Computing"],"published-print":{"date-parts":[[2003,9]]},"DOI":"10.1016\/s0262-8856(03)00073-8","type":"journal-article","created":{"date-parts":[[2003,8,8]],"date-time":"2003-08-08T01:31:39Z","timestamp":1060306299000},"page":"865-877","source":"Crossref","is-referenced-by-count":11,"title":["Dynamic trees for image modelling"],"prefix":"10.1016","volume":"21","author":[{"given":"Nicholas J.","family":"Adams","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher K.I.","family":"Williams","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/S0262-8856(03)00073-8_BIB1","unstructured":"N.J. Adams, Dynamic Trees: A Hierarchical Probabilistic Approach to Image Modelling. PhD Thesis, Institute for Adaptive and Neural Computation, Artificial Intelligence, Division of Informatics, University of Edinburgh, 5 Forrest Hill, Edinburgh, EH1 2QL, UK, 2001."},{"key":"10.1016\/S0262-8856(03)00073-8_BIB2","first-page":"151","article-title":"MFDTs: Mean Field Dynamic Trees","volume":"vol. 3","author":"Adams","year":"2000"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB3","series-title":"In Proceedings of Ninth International Conference on Artificial Neural Networks","author":"Adams","year":"1999"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB4","series-title":"In Fourth International ICSC Symposium on Soft Computing and Intelligent Systems for Industry","author":"Adams","year":"2001"},{"issue":"2","key":"10.1016\/S0262-8856(03)00073-8_BIB5","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1109\/83.277898","article-title":"A multliscale random field model for bayesian image segmentation","volume":"3","author":"Bouman","year":"1994","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB6","series-title":"Statistical Language Learning","author":"Charniak","year":"1993"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB7","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1109\/TASSP.1985.1164641","article-title":"Classification of textures using Guassian Markov random fields","volume":"33","author":"Chellappa","year":"1985","journal-title":"IEEE Transactions on Acoustics, Speech and Signal Processing"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB8","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1117\/12.970095","article-title":"Recognition of equations using a two-dimentional stochastic context-free grammar","volume":"1199","author":"Chou","year":"1989","journal-title":"Visual Communications and Image Processing IV"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB9","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1109\/78.668544","article-title":"Wavelet-based statistical signal processing using hidden Markov models","volume":"46","author":"Crouse","year":"1998","journal-title":"IEEE Transactions on Signal Processing"},{"issue":"5","key":"10.1016\/S0262-8856(03)00073-8_BIB10","doi-asserted-by":"crossref","DOI":"10.1162\/neco.1995.7.5.889","article-title":"The Helmholtz Machine","volume":"7","author":"Dayan","year":"1995","journal-title":"Neural Computation"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB11","series-title":"Advances in Neural Information Processing Systems 10","article-title":"A non-parametric multi-scale statistical model for natural images","author":"De Bonet","year":"1998"},{"issue":"July","key":"10.1016\/S0262-8856(03)00073-8_BIB12","doi-asserted-by":"crossref","DOI":"10.1117\/12.323459","article-title":"Training Bayesian networks for image segmentation","volume":"3457","author":"Feng","year":"1998","journal-title":"In Proceedings of SPIE"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB13","doi-asserted-by":"crossref","unstructured":"X. Feng, C.K.I. Williams, S.N. Felderhof. Combining belief networks and neural networks for scene segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(4) (2002) \u2013.","DOI":"10.1109\/34.993555"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/ICIP.1994.413519","article-title":"Multiresolution stochastic imaging of satellite oceanographic altimetric data","volume":"2","author":"Fieguth","year":"1994","journal-title":"IEEE International Conference on Image Processing"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB15","series-title":"In Proceedings of the Fourteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI-98)","author":"Friedman","year":"1998"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB16","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/0004-3702(95)00014-3","article-title":"Knowledge representation and inference in similarity networks and Bayesian multinets","volume":"82","author":"Geiger","year":"1996","journal-title":"Artificial Intelligence"},{"issue":"6","key":"10.1016\/S0262-8856(03)00073-8_BIB17","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","article-title":"Stochastic relaxation; Gibbs distributions, and the Bayesian restoration of images","volume":"6","author":"Geman","year":"1984","journal-title":"In IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB18","unstructured":"S. Geman, K. Manbeck, Experiments in syntactic recognition, Technical Report CICS-P-411, Division of Applied Mathematics, Brown University, Providence, RI 02912 USA, 1994."},{"key":"10.1016\/S0262-8856(03)00073-8_BIB19","series-title":"Neural Networks and Machine Learning","article-title":"A Hierarchical community of experts","author":"Hinton","year":"1998"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB20","first-page":"463","article-title":"Learning to parse images","author":"Hinton","year":"2000"},{"issue":"11","key":"10.1016\/S0262-8856(03)00073-8_BIB21","doi-asserted-by":"crossref","first-page":"1517","DOI":"10.1109\/83.641412","article-title":"An overlapping tree approach to multiscale stochastic modeling and estimation","volume":"6","author":"Irving","year":"1997","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB22","series-title":"Learning in Graphical Models","first-page":"105","article-title":"An Introduction to variational methods for graphical models","author":"Jordan","year":"1998"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB23","series-title":"Graphical Models","author":"Lauritzen","year":"1996"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB24","series-title":"Statistical Analysis with Missing Data","author":"Little","year":"1987"},{"issue":"2","key":"10.1016\/S0262-8856(03)00073-8_BIB25","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1109\/83.342185","article-title":"Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination","volume":"4","author":"Luettgen","year":"1995","journal-title":"IEEE Transactions on Image Processing"},{"issue":"4","key":"10.1016\/S0262-8856(03)00073-8_BIB26","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1109\/34.88566","article-title":"Hierarchical image analysis using irregular tessellations","volume":"13","author":"Montanvert","year":"1991","journal-title":"IEEE Transactions Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB27","series-title":"Probabilistic Reasoning in Intelligent Systems","author":"Pearl","year":"1988"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB28","series-title":"Exploiting Tractable Substructures in Intractable Networks 8","article-title":"Exploiting tractable substructures in intractable networks","author":"Saul","year":"1996"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB29","series-title":"In Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics","author":"Storkey","year":"2001"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB30","series-title":"Models of Neural Networks","article-title":"The correlation theory of brain function","author":"von der Malsburg","year":"1994"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB31","series-title":"Handbook of Brain Theory and Neural Networks","first-page":"329","author":"von der Malsburg","year":"1995"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB32","doi-asserted-by":"crossref","unstructured":"C.K.I. Williams. Using deterministic Boltzmann machines for discriminating temporally distorted strings, MSc Thesis, Department of Computer Science, University of Toronto, 1990.","DOI":"10.1016\/B978-1-4832-1448-1.50008-1"},{"key":"10.1016\/S0262-8856(03)00073-8_BIB33","series-title":"Advances in Neural Information Processing Systems 11","first-page":"634","article-title":"DTs: Dynamic Trees","author":"Williams","year":"1999"}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885603000738?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885603000738?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,3,25]],"date-time":"2020-03-25T05:16:08Z","timestamp":1585113368000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885603000738"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,9]]},"references-count":33,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2003,9]]}},"alternative-id":["S0262885603000738"],"URL":"https:\/\/doi.org\/10.1016\/s0262-8856(03)00073-8","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2003,9]]}}}