Tag mrf [76 articles] Export

Recent papers classified by the tag mrf.

	Computation of Image Spatial Entropy Using Quadrilateral Markov Random Field [My Copy] Image Processing, IEEE Transactions on, Vol. 18, No. 12. (11 August 2009), pp. 2629-2639. by Q. R. Razlighi, N. Kehtarnavaz, A. Nosratinia posted to mrf by nshorter on 2009-11-10 20:12:24 as
	Efficient MRF deformation model for non-rigid image matching [My Copy] Comput. Vis. Image Underst., Vol. 112, No. 1. (2008), pp. 91-99. by Alexander Shekhovtsov, Ivan Kovtun, Václav Hlaváč posted to registration mrf face alignment by handee on 2009-10-07 09:31:32 as
	Joint Unsupervised Coreference Resolution with Markov Logic [My Copy] In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (October 2008), pp. 650-659. by Hoifung Poon, Pedro Domingos posted to unsupervised nlp mrf markov_logic machine_learning coreference by markstoehr on 2009-09-04 00:27:01 as
	Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 31, No. 1. (2009), pp. 114-128. by Long Zhu, Yuanhao Chen, Alan Yuille posted to visual_grammars vision unsupervised mrf machine_learning grammars computer_vision by markstoehr on 2009-08-29 07:33:34 as along with 1 person forefinger
	Efficient Stepwise Selection in Decomposable Models [My Copy] In UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (2001), pp. 128-135. by Amol Deshpande, Minos N. Garofalakis, Michael I. Jordan posted to decomposable mrf structure_learning by roys on 2009-08-11 07:23:44 as
	A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 6. (2008), pp. 1068-1080. by R. Szeliski, R. Zabih, D. Scharstein, et al.O. Veksler, V. Kolmogorov, A. Agarwala, M. Tappen, C. Rother posted to computer mrf vision by uri_patish on 2009-07-05 21:06:45 as along with 2 people weiweiguo przem
	Fully Bayesian Joint Model for MR Brain Scan Tissue and Structure Segmentation [My Copy] Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 (2008), pp. 1066-1074. by Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat posted to bayesian brain joint model mrf segmentation structure subcortical tissue by mkarmona on 2009-06-10 11:31:28 as
	Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference [My Copy] In In NIPS (2003), pp. 905-912. by Andrew Mccallum, Ben Wellner posted to mrf nips09 by ajbattle on 2009-06-05 22:41:53 as
	Exploring the use of conditional random field models and HMMs for historical handwritten document recognition [My Copy] Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on In Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on (2006), pp. 8 pp.-37. by Shaolei Feng, R. Manmatha, A. Mccallum posted to ancient crf dia handwritten hmm mrf randomfield recognition by angieG on 2009-05-17 18:45:32 as
	Document Image Segmentation Using a 2D Conditional Random Field Model [My Copy] Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on In Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on, Vol. 1 (2007), pp. 407-411. by S. Nicolas, J. Dardenne, T. Paquet, L. Heutte posted to contextual crf dia mlp mrf neuronalnet randomfield by angieG on 2009-05-17 18:43:13 as
	Complex handwritten page segmentation using contextual models [My Copy] Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on In Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on (2006), 12 pp.. by S. Nicolas, T. Paquet, L. Heutte posted to contextual dia handwritten mrf randomfield by angieG on 2009-05-17 18:38:36 as along with 1 person khansazul
	A Maximum-Flow Formulation of the N-camera Stereo Correspondence Problem [My Copy] (1998) by Sebastien Roy, Ingemar Cox posted to graph-cuts mrf multi-view stereo by przem on 2009-05-04 13:19:44 as
	Inference of functional networks of condition-specific response--a case study of quiescence in yeast. [My Copy] Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2009), pp. 51-62. by S. Roy, T. Lane, M. Werner-Washburne, D. Martinez posted to condition_specific_nw mrf by roys on 2009-04-27 17:14:19 as
	Prediction of protein function using protein-protein interaction data. [My Copy] J Comput Biol, Vol. 10, No. 6. (2003), pp. 947-960. by M. Deng, K. Zhang, S. Mehta, T. Chen, F. Sun posted to mrf protein_function_pred protein_nw by roys on 2009-04-23 05:06:37 as along with 4 people cerca satsumakenji iris_2001 carlk
	Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 6 (1984), pp. 721-741. by Stuart Geman, Donald Geman posted to mrf by vmnih on 2009-04-17 02:40:29 as along with 2 people gane5h rv101
	Quadratic programming relaxations for metric labeling and Markov random field MAP estimation [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 737-744. by Pradeep Ravikumar, John Lafferty posted to mrf by egozi on 2009-04-02 08:03:06 as along with 1 person paulinus
	Markerless human body motion capture using Markov random field and dynamic graph cuts [My Copy] The Visual Computer, Vol. 24, No. 5. (May 2008), pp. 373-380. by Wan, Chengkai, Yuan, Baozong, Miao, Zhenjiang posted to graph-cut markerless_human_motion_capture mrf pose_estimation_by_powell shape_from_silhouette by micha137 on 2009-02-25 16:40:58 as
	A comparison of inference techniques for semi-supervised clustering with hidden Markov random fields [My Copy] In In Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004 (2004) by Sugato Basu posted to clustering hmrf mrf semisupervised by whereisravi on 2009-02-02 19:38:44 as
	Markov random field modeling in image analysis [My Copy] (2001) by Stan Z. Li posted to aha markov mrf by stsaft on 2009-01-22 22:15:41 as along with 2 people and 4 groups jibc jekky CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Latent concept expansion using markov random fields [My Copy] In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (2007), pp. 311-318. by Donald Metzler, W. Bruce Croft posted to indri ir lm mrf query_expansion query_model query_modeling relevance_feedback by ejmeij to the group LanguageModeling on 2009-01-08 10:55:47 as along with 2 people and 2 groups bemike jykim CIIR ilps
	Efficient Belief Propagation for Early Vision [My Copy] International Journal of Computer Vision, Vol. 70, No. 1. (October 2006), pp. 41-54. by Felzenszwalb, Pedro, Huttenlocher, Daniel posted to belief-propagation mrf vision by assad79 on 2008-12-05 17:08:23 as along with 6 people abachrac Krom17 ElQuijote42 przem hcs dlmace
	Markov random field models in computer vision [My Copy] Computer Vision — ECCV '94 (1994), pp. 361-370. by S. Li posted to mrf by weiweiguo on 2008-11-27 23:48:02 as along with 1 person pcarbo
	Stereo Matching Using Belief Propagation [My Copy] Computer Vision — ECCV 2002 (2002), pp. 450-452. by Jian Sun, Heung-Yeung Shum, Nan-Ning Zheng posted to belief-propagation mrf probablistic stereo by przem on 2008-09-26 11:23:19 as along with 1 person rsantana
	Fast approximate energy minimization via graph cuts [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23 (2001) by Yuri Boykov, Olga Veksler, Ramin Zabih posted to graph-cuts mrf probablistic by przem on 2008-09-26 10:42:07 as
	Markov random fields with efficient approximations [My Copy] Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on (1998), pp. 648-655. by Y. Boykov, O. Veksler, R. Zabih posted to belief-propagation graph-cuts mrf reconstruction stereo by przem on 2008-09-25 10:50:32 as along with 4 people rsantana gane5h rv101 nkishan
	Structure Learning on Large Scale Common Sense Statistical Models of Human State [My Copy] In AAAI (2008), pp. 1389-1395. by William Pentney, Matthai Philipose, Jeff A. Bilmes edited by Dieter Fox, Carla P. Gomes, Dieter Fox, Carla P. Gomes posted to mrf structure_learning by roys on 2008-08-29 18:13:02 as along with 1 person hawkes
	Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 6, No. 6. (November 1984), pp. 721-741. by Stuart Geman, Donald Geman posted to annealing mrf simulated by sancho on 2008-05-07 06:09:28 as along with 3 people carmenrg oannes kshundyak
	Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems [My Copy] by S. L. Lauritzen, D. J. Spiegelhalter posted to graphical_gaussian graphical_models mrf by roys on 2008-05-01 03:23:40 as along with 7 people Viperus zeppe frohike tmmurali wasteland93 sutovsky lcigler
	Discriminative random fields: a discriminative framework for contextual interaction in classification [My Copy] Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on (2003), pp. 1150-1157 vol.2. by Sanjiv Kumar, M. Hebert posted to classification crf mrf by assad79 on 2008-04-29 13:11:39 as
	Information fusion in a Markov random field-based image segmentation approach using adaptive neighbourhoods [My Copy] Pattern Recognition, 1996., Proceedings of the 13th International Conference on In Pattern Recognition, 1996., Proceedings of the 13th International Conference on, Vol. 2 (1996), pp. 570-575 vol.2. by P. C. Smits, S. Dellepiane posted to fusion mrf segmentation by assad79 on 2008-04-22 10:33:50 as
	A concealment method for video communications in an error-prone environment [My Copy] Selected Areas in Communications, IEEE Journal on In Selected Areas in Communications, IEEE Journal on, Vol. 18, No. 6. (2000), pp. 1122-1128. by S. Shirani, F. Kossentini, R. Ward posted to 5 mrf by Dyomich on 2008-01-23 10:16:57 as
	Robust and edge-preserving video error concealment by coarse-to-fine block replenishment [My Copy] Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). IEEE International Conference on In Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). IEEE International Conference on, Vol. 4 (2002), pp. IV-3281-IV-3284 vol.4. by S. Belfiore, L. Crisa, M. Grangetto, E. Magli, G. Olmo posted to 3 mrf by Dyomich on 2008-01-23 10:15:44 as
	Error concealment in MPEG video streams over ATM networks [My Copy] Selected Areas in Communications, IEEE Journal on In Selected Areas in Communications, IEEE Journal on, Vol. 18, No. 6. (2000), pp. 1129-1144. by P. Salama, N. B. Shroff, E. J. Delp posted to 2 mrf by Dyomich on 2008-01-23 10:15:04 as
	Spatio-temporal video error concealment with perceptually optimized mode selection [My Copy] In ICME '03: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) (2003), pp. 169-172. by S. Belfiore, M. Grangetto, E. Magli, G. Olmo posted to 1 gbm mrf by Dyomich on 2008-01-23 10:13:08 as
	A colorization algorithm based on local MAP estimation [My Copy] Pattern Recognition, Vol. 39, No. 11. (November 2006), pp. 2212-2217. by Hideki Noda, Jin Korekuni, Michiharu Niimi posted to colorization mrf probabilistic by atargowska on 2008-01-14 18:29:35 as along with 1 person stsaft
	Texture synthesis via a noncausal nonparametric multiscale Markov random field [My Copy] (1997) by R. Paget, D. Longstaff posted to image mrf prior synthesis texture by stueckle on 2007-12-20 09:39:21 as
	Analysis of Stochastic Simulation Algorithms for Partition Function Estimation of Gibbs Images [My Copy] by Gerasimos Potamianos, John Goutsia posted to markov_networks mcmc mrf partition_function by roys on 2007-11-26 01:36:13 as
	Estimation of Markov Random Field Prior Parameters Using Markov Chain Monte Carlo Maximum Likelihood [My Copy] No. RR-3015. by Xavier Descombes, Robin Morris, Josiane Zerubia, Marc Berthod posted to maximum_likelihood mrf param_est by roys on 2007-11-25 04:00:53 as
	Inferring domain-domain interactions from protein-protein interactions. [My Copy] Genome research, Vol. 12, No. 10. (October 2002), pp. 1540-1548. by Minghua Deng, Shipra Mehta, Fengzhu Sun, Ting Chen posted to domain interactions mrf by Pao-Yang on 2007-11-22 12:08:56 as along with 7 people maryee opheliav wnpx neils phoenixzxl carlk zdai
	Mapping Gene Ontology to proteins based on protein-protein interaction data. [My Copy] Bioinformatics, Vol. 20, No. 6. (12 April 2004), pp. 895-902. by M. Deng, Z. Tu, F. Sun, T. Chen posted to function go mrf prediction by Pao-Yang on 2007-11-22 12:06:23 as
	Prediction of protein function using protein-protein interaction data. [My Copy] Proc IEEE Comput Soc Bioinform Conf, Vol. 1 (2002), pp. 197-206. by M. Deng, K. Zhang, S. Mehta, T. Chen, F. Sun posted to function mrf prediction by Pao-Yang on 2007-11-22 12:05:31 as
	An integrated approach to the prediction of domain-domain interactions [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (2006) by Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen posted to mrf by Pao-Yang on 2007-11-22 12:04:34 as along with 2 people choonpeng iris_2001
	Diffusion kernel-based logistic regression models for protein function prediction. [My Copy] OMICS, Vol. 10, No. 1. (2006), pp. 40-55. by H. Lee, Z. Tu, M. Deng, F. Sun, T. Chen posted to funcion klr mrf prediction svm by Pao-Yang on 2007-11-22 12:02:34 as
	Contextual Identity Recognition in Personal Photo Albums [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-7. by Dragomir Anguelov, Kuang-Chih Lee, Salih B. Gokturk, Baris Sumengen posted to mrf by zoop on 2007-09-18 08:08:34 as along with 1 person baeuml
	Approximation Algorithms for Classification Problems with Pairwise Relationships: Metric Labeling and Markov Random Fields [My Copy] In FOCS '99: Proceedings of the 40th Annual Symposium on Foundations of Computer Science (1999) by Jon Kleinberg, Eva Tardos posted to labeling metric mrf by iris_2001 on 2007-08-21 09:36:55 as along with 1 person hcs
	A Markov Random Field Model for Network-based Analysis of Genomic Data. [My Copy] Bioinformatics (5 May 2007) by Zhi Wei, Hongzhe Li posted to analysis data geomic mrf network-based by iris_2001 on 2007-07-09 02:13:46 as along with 2 people wnpx ptrobajo
	Nonparametric Markov random field models for natural texture images [My Copy] (1999) by R. Paget posted to mrf by Vezhnick on 2007-05-22 14:08:56 as
	The Dynamics of Nonlinear Relaxation Labeling Processes [My Copy] Journal of Mathematical Imaging and Vision, Vol. 7, No. 4. (1 October 1997), pp. 309-323. by Marcello Pelillo posted to labeling mrf optimization relaxation by paulinus on 2007-05-09 19:53:00 as
	Unsupervised segmentation of synthetic aperture Radar sea ice imagery using a novel Markov random field model [My Copy] Geoscience and Remote Sensing, IEEE Transactions on, Vol. 43, No. 3. (2005), pp. 528-538. by Huawu Deng, D. A. Clausi posted to mrf sar segmentation texture by tyler on 2007-04-26 16:12:08 as
	Predicting protein function from protein/protein interaction data: a probabilistic approach. [My Copy] Bioinformatics, Vol. 19 Suppl 1 (2003) by S. Letovsky, S. Kasif posted to function mrf network ppi prediction protein by iris_2001 on 2007-04-26 09:28:18 as along with 3 people and 1 group lfriedl opheliav wnpx kdl

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