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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 699 occurrences of 344 keywords
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Found 599 publication records. Showing 599 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 3 | Jun Zhu, Ni Lao, Eric P. Xing |
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.  |
KDD  |
2010 |
DBLP DOI BibTeX RDF |
feature selection, Markov random fields, structure learning |
| 3 | Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim |
Multiscale Bayesian texture segmentation using neural networks and Markov random fields.  |
Neural Computing and Applications  |
2009 |
DBLP DOI BibTeX RDF |
Multi-scale Bayesian texture segmentation, Neural networks, Wavelet transform, Markov random fields, Gibbs sampler |
| 3 | Jesse Butterfield, Odest Chadwicke Jenkins, David M. Sobel, Jonas Schwertfeger |
Modeling Aspects of Theory of Mind with Markov Random Fields.  |
I. J. Social Robotics  |
2009 |
DBLP DOI BibTeX RDF |
Markov random fields, Belief propagation, Multi-robot, Theory of Mind |
| 3 | Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother |
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2008 |
DBLP DOI BibTeX RDF |
Global optimization, Markov random fields, Graph cuts, Belief propagation, Performance evaluation of algorithms and systems |
| 3 | Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu |
Optimal Learning High-Order Markov Random Fields Priors of Colour Image.  |
ACCV  |
2007 |
DBLP DOI BibTeX RDF |
image prior, colour image denoising, Markov random fields |
| 3 | Flávio Milsztajn, Klaus de Geus |
Three-dimensional segmentation of brain tissues using Markov random fields and genetic algorithms.  |
SAC  |
2007 |
DBLP DOI BibTeX RDF |
brain segmentation, genetic algorithms, Markov random fields |
| 3 | Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, William R. Patterson, Alexander Zaslavsky |
Optimizing noise-immune nanoscale circuits using principles of Markov random fields.  |
ACM Great Lakes Symposium on VLSI  |
2006 |
DBLP DOI BibTeX RDF |
Markov random fields, error correcting codes, emerging technologies, noise immunity, circuit optimization, subthreshold operation |
| 3 | Constantinos Daskalakis, Christos H. Papadimitriou |
Computing pure nash equilibria in graphical games via markov random fields.  |
ACM Conference on Electronic Commerce  |
2006 |
DBLP DOI BibTeX RDF |
markov random fields, nash equilibrium, treewidth |
| 3 | Minh Pham, Mei Xiang, Chih-Cheng Hung, Bor-Chen Kuo |
A comparative study on the K-views classifier and Markov random fields for image texture classification.  |
ACM Southeast Regional Conference  |
2005 |
DBLP DOI BibTeX RDF |
spatial image classifiers, Markov random fields (MRF) |
| 3 | Raymond Wan, Hiroshi Mamitsuka, Kiyoko F. Aoki |
Cleaning microarray expression data using Markov random fields based on profile similarity.  |
SAC  |
2005 |
DBLP DOI BibTeX RDF |
microarray expression profile similarity, markov random fields, data cleaning |
| 3 | Jon M. Kleinberg, Éva Tardos |
Approximation algorithms for classification problems with pairwise relationships: metric labeling and Markov random fields.  |
J. ACM  |
2002 |
DBLP DOI BibTeX RDF |
metric labeling, classification, Approximation algorithms, Markov random fields |
| 3 | Dorit S. Hochbaum |
An efficient algorithm for image segmentation, Markov random fields and related problems.  |
J. ACM  |
2001 |
DBLP DOI BibTeX RDF |
parametric minimum cut, Markov random fields, Convex optimization, strongly polynomial algorithms |
| 3 | Jon M. Kleinberg, Éva Tardos |
Approximation Algorithms for Classification Problems with Pairwise Relationships: Metric Labeling and Markov Random Fields.  |
FOCS  |
1999 |
DBLP DOI BibTeX RDF |
clustering, image processing, Markov random fields, graph partitioning, facility location, Classification problems |
| 3 | Robert G. Aykroyd |
Bayesian Estimation for Homogeneous and Inhomogeneous Gaussian Random Fields.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1998 |
DBLP DOI BibTeX RDF |
compound Gauss-Markov random fields, coupled random fields, doubly stochastic random fields, Markov random fields, Metropolis-Hastings algorithm, Adaptive smoothing |
| 3 | Fabrice Heitz, Patrick Bouthemy |
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1993 |
DBLP DOI BibTeX RDF |
multimodal estimation, discontinuous optical flow, dense velocity fields, occlusion regions, flow estimation, global statistical models, gradient-based motion constraint equations, feature-based motion constraint equations, deterministic relaxation algorithms, real world image sequences, synthetic image sequences, motion estimation, motion estimation, image sequences, Markov random fields, Markov processes, statistics, Bayes methods, Bayesian estimation, ill-posed problem, visual motion, motion boundaries |
| 2 | Wei Feng, Jiaya Jia, Zhi-Qiang Liu |
Self-Validated Labeling of Markov Random Fields for Image Segmentation.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2010 |
DBLP DOI BibTeX RDF |
Self-validated labeling, graduated graph cuts, split-and-merge, image segmentation, Markov random fields (MRFs) |
| 2 | Christian Wolf |
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2010 |
DBLP DOI BibTeX RDF |
document image restoration, Markov random fields, graph cuts, Bayesian estimation |
| 2 | Ainhoa Llorente, Raghavan Manmatha, Stefan M. Rüger |
Image retrieval using Markov Random Fields and global image features.  |
CIVR  |
2010 |
DBLP DOI BibTeX RDF |
Markov processes, nonparametric statistics |
| 2 | Matthew G. Reyes, David L. Neuhoff |
Lossless Reduced Cutset Coding of Markov Random Fields.  |
DCC  |
2010 |
DBLP DOI BibTeX RDF |
Markov random fields, source coding, information geometry, cutsets |
| 2 | Martin Lettner, Robert Sablatnig |
Higher order MRF for foreground-background separation in multi-spectral images of historical manuscripts.  |
Document Analysis Systems  |
2010 |
DBLP DOI BibTeX RDF |
foreground-background separation, Markov random fields, document image analysis, multi-spectral images |
| 2 | Ilias Maglogiannis, Demosthenes Vouyioukas, Chris Aggelopoulos |
Face detection and recognition of natural human emotion using Markov random fields.  |
Personal and Ubiquitous Computing  |
2009 |
DBLP DOI BibTeX RDF |
ICM, Image segmentation, Markov random field, Face detection, Emotion recognition |
| 2 | Daniel Munoz, Nicolas Vandapel, Martial Hebert |
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields.  |
ICRA  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Jia Zeng, Zhi-Qiang Liu |
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition.  |
IEEE T. Fuzzy Systems  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Lara Fontanella, L. Ippoliti, R. J. Martin, S. Trivisonno |
Interpolation of spatial and spatio-temporal Gaussian fields using Gaussian Markov random fields.  |
Adv. Data Analysis and Classification  |
2008 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classification (2000) 62M30, 62M40, 62M20 |
| 2 | Jason K. Johnson, Alan S. Willsky |
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields.  |
IEEE Transactions on Image Processing  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Youngchul Sung, H. Vincent Poor, Heejung Yu |
Large deviations analysis for the detection of 2D hidden Gauss-Markov random fields using sensor networks.  |
ICASSP  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Makoto Sato, Shuichiro Imahara |
Clustering Geospatial Objects via Hidden Markov Random Fields.  |
ICDM  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Kai Guo, Xiaokang Yang, Rui Zhang, Guangtao Zhai, Songyu Yu |
Face super-resolution using 8-connected Markov Random Fields with embedded prior.  |
ICPR  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Keming Chen, Chunlei Huo, Jian Cheng, Zhixin Zhou, Hanqing Lu |
Change detection based on adaptive Markov Random Fields.  |
ICPR  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Jérôme Darbon |
Global Optimization for First Order Markov Random Fields with Submodular Priors.  |
IWCIA  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Kersten Petersen, Janis Fehr, Hans Burkhardt |
Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields.  |
DAGM-Symposium  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan |
The Complexity of Distinguishing Markov Random Fields.  |
APPROX-RANDOM  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Guy Bresler, Elchanan Mossel, Allan Sly |
Reconstruction of Markov Random Fields from Samples: Some Observations and Algorithms.  |
APPROX-RANDOM  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Song Liu, Jagath C. Rajapakse |
Protein localization on cellular images with Markov random fields.  |
IJCNN  |
2008 |
DBLP DOI BibTeX RDF |
|
| 2 | Huaigu Cao, Venu Govindaraju |
Processing and retrieving handwritten medical forms.  |
DG.O  |
2008 |
DBLP DOI BibTeX RDF |
information retrieval, OCR, Markov random fields |
| 2 | Jia Zeng, Zhi-Qiang Liu |
Markov Random Field-Based Statistical Character Structure Modeling for Handwritten Chinese Character Recognition.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2008 |
DBLP DOI BibTeX RDF |
handwritten Chinese character recognition, statistical-structural character modeling, Markov random fields |
| 2 | Edgar Arce Santana, Alfonso Alba |
Image Registration Using Markov Random Coefficient Fields.  |
IWCIA  |
2008 |
DBLP DOI BibTeX RDF |
Intensity Transformation Function, Markov Random Fields, Image Registration, Bayesian Estimation |
| 2 | Pushmeet Kohli, Philip H. S. Torr |
Dynamic Graph Cuts for Efficient Inference in Markov Random Fields.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2007 |
DBLP DOI BibTeX RDF |
Dynamic graph cuts, st-mincut, Markov Random Fields, Energy Minimization, Video segmentation, Maximum flow |
| 2 | Florence Forbes, Gersende Fort |
Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields.  |
IEEE Transactions on Image Processing  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, William R. Patterson, Alexander Zaslavsky |
Designing Nanoscale Logic Circuits Based on Markov Random Fields.  |
J. Electronic Testing  |
2007 |
DBLP DOI BibTeX RDF |
reliability, redundancy, Markov random fields, noise immunity, probabilistic computing |
| 2 | Liang Xiong, Fei Wang 0001, Changshui Zhang |
Multilevel Belief Propagation for Fast Inference on Markov Random Fields.  |
ICDM  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | X.-D. Zhou, C.-L. Liu, Solen Quiniou, Éric Anquetil |
Text/Non-text Ink Stroke Classification in Japanese Handwriting Based on Markov Random Fields.  |
ICDAR  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Victor S. Lempitsky, Carsten Rother, Andrew Blake |
LogCut - Efficient Graph Cut Optimization for Markov Random Fields.  |
ICCV  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Matthew G. Reyes, Xiaonan Zhao, David L. Neuhoff, Thrasyvoulos N. Pappas |
Lossy Compression of Bilevel Images Based on Markov Random Fields.  |
ICIP  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Huy Tho Ho, Roland Göcke |
Automatic Parametrisation for an Image Completion Method Based on Markov Random Fields.  |
ICIP  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Huy Tho Ho, Roland Göcke |
Quaternion Potential Functions for a Colour Image Completion Method Using Markov Random Fields.  |
DICTA  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Donald Metzler, W. Bruce Croft |
Latent concept expansion using markov random fields.  |
SIGIR  |
2007 |
DBLP DOI BibTeX RDF |
information retrieval, markov random fields, query expansion |
| 2 | Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen |
Dynamic hierarchical Markov random fields and their application to web data extraction.  |
ICML  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Rene Donner, Branislav Micusík, Georg Langs, Lech Szumilas, Philipp Peloschek, Klaus Friedrich, Horst Bischof |
Object Localization Based on Markov Random Fields and Symmetry Interest Points.  |
MICCAI  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Carlos Hernández-Gracidas, Luis Enrique Sucar |
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation.  |
PSIVT  |
2007 |
DBLP DOI BibTeX RDF |
content-based image retrieval, Markov random fields, Spatial relations, automatic image annotation |
| 2 | Huang Ting, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang |
Image inpainting by global structure and texture propagation.  |
ACM Multimedia  |
2007 |
DBLP DOI BibTeX RDF |
markov random fields, belief propagation, inpainting, image completion |
| 2 | Vladimir Kolmogorov, Carsten Rother |
Minimizing Nonsubmodular Functions with Graph Cuts-A Review.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2007 |
DBLP DOI BibTeX RDF |
quadratic pseudo-Boolean optimization, min cut/max flow, texture restoration, Markov Random Fields, Energy minimization |
| 2 | Nikos Komodakis, Georgios Tziritas |
Approximate Labeling via Graph Cuts Based on Linear Programming.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2007 |
DBLP DOI BibTeX RDF |
linear programming, Global optimization, Markov Random Fields, graph algorithms, image restoration, motion, stereo, early vision, pixel classification, graph labeling, graph-theoretic methods |
| 2 | Yang Chen, Wufan Chen, Pengcheng Shi, Yanqiu Feng, Qianjin Feng, Qingqi Wang, Zhiyong Huang |
A Novel Way of Incorporating Large-Scale Knowledge into MRF Prior Model.  |
AIME  |
2007 |
DBLP DOI BibTeX RDF |
emission tomography, nonlocal prior, Markov Random Fields (MRF), Bayesian reconstruction |
| 2 | Yang Chen, Wufan Chen, Pengcheng Shi, Yanqiu Feng, Qianjin Feng, Qingqi Wang, Zhiyong Huang |
Bayesian Reconstruction Using a New Nonlocal MRF Prior for Count-Limited PET Transmission Scans.  |
ICIAR  |
2007 |
DBLP DOI BibTeX RDF |
Transmission Tomography, nonlocal prior, local prior, Markov Random Fields (MRF), Positron Emission Tomography (PET) |
| 2 | Hongtu Zhu, Minggao Gu, Bradley S. Peterson |
Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm.  |
Statistics and Computing  |
2007 |
DBLP DOI BibTeX RDF |
Spatial random effects models, Markov random fields, Markov chain Monte Carlo, Expectation maximization, Stochastic approximation |
| 2 | Fabien Salzenstein, Christophe Collet |
Fuzzy Markov Random Fields versus Chains for Multispectral Image Segmentation.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2006 |
DBLP DOI BibTeX RDF |
Fuzzy Markov field, fuzzy Markov chain, parameterized joint density, multispectral image segmentation, missing data |
| 2 | Martin J. Wainwright, Michael I. Jordan |
Log-determinant relaxation for approximate inference in discrete Markov random fields.  |
IEEE Transactions on Signal Processing  |
2006 |
DBLP DOI BibTeX RDF |
|
| 2 | Cédric Demonceaux, Pascal Vasseur |
Adaptative Markov Random Fields for Omnidirectional Vision.  |
ICPR  |
2006 |
DBLP DOI BibTeX RDF |
|
| 2 | Jia Zeng, Zhi-Qiang Liu |
Stroke Segmentation of Chinese Characters Using Markov Random Fields.  |
ICPR  |
2006 |
DBLP DOI BibTeX RDF |
|
| 2 | Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller |
Combinatorial Markov Random Fields.  |
ECML  |
2006 |
DBLP DOI BibTeX RDF |
|
| 2 | Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao |
Mixed-State Markov Random Fields for Motion Texture Modeling and Segmentation.  |
ICIP  |
2006 |
DBLP DOI BibTeX RDF |
|
| 2 | Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother |
A Comparative Study of Energy Minimization Methods for Markov Random Fields.  |
ECCV  |
2006 |
DBLP DOI BibTeX RDF |
|
| 2 | Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher, Michael J. Black |
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields.  |
ECCV  |
2006 |
DBLP DOI BibTeX RDF |
|
| 2 | Antonio López, José Manuel Martín, Rafael Molina, Aggelos K. Katsaggelos |
Transmission Tomography Reconstruction Using Compound Gauss-Markov Random Fields and Ordered Subsets.  |
ICIAR  |
2006 |
DBLP DOI BibTeX RDF |
|
| 2 | Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, William R. Patterson, Alexander Zaslavsky |
MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits.  |
IEEE Micro  |
2006 |
DBLP DOI BibTeX RDF |
Reliability, redundancy, Markov random fields, noise immunity, probabilistic computing |
| 2 | Tai-Pang Wu, Kam-Lun Tang, Chi-Keung Tang, Tien-Tsin Wong |
Dense Photometric Stereo: A Markov Random Field Approach.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2006 |
DBLP DOI BibTeX RDF |
normal and surface reconstruction, robust inference, real-time relighting, Markov random fields, graph cuts, belief propagation, Photometric stereo |
| 2 | Gorthi R. K. Sai Subrahmanyam, A. N. Rajagopalan, Rangarajan Aravind |
A New Extension of Kalman Filter to Non-Gaussian Priors.  |
ICVGIP  |
2006 |
DBLP DOI BibTeX RDF |
Dynamic state space models, Auto-regressive models, Markov random fields, Kalman filter, Importance sampling |
| 2 | Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J. Gibson |
Creating Multi-layered 3D Images Using Reversible Jump MCMC Algorithms.  |
ISVC  |
2006 |
DBLP DOI BibTeX RDF |
3D ranging and imaging, reversible jump Markov chain Monte Carlo, multi-layered image, time-correlated single photon counting, burst illumination laser, Markov random fields |
| 2 | Yang Chen, Wufan Chen, Yanqiu Feng, Qianjin Feng |
Convergent Bayesian Reconstruction for PET Using New MRF Quadratic Membrane-Plate Hybrid Multi-order Prior.  |
MIAR  |
2006 |
DBLP DOI BibTeX RDF |
PET (Positron Emission Tomography), Membrane-Plate hybrid prior, MRF (Markov random fields), Bayesian reconstruction |
| 2 | Stéphane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte |
Handwritten Document Segmentation Using Hidden Markov Random Fields.  |
ICDAR  |
2005 |
DBLP DOI BibTeX RDF |
|
| 2 | Jia Zeng, Zhi-Qiang Liu |
Markov Random Fields for Handwritten Chinese Character Recognition.  |
ICDAR  |
2005 |
DBLP DOI BibTeX RDF |
|
| 2 | Michele Ceccarelli |
Fast Edge Preserving Picture Recovery by Finite Markov Random Fields.  |
ICIAP  |
2005 |
DBLP DOI BibTeX RDF |
|
| 2 | Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng |
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data.  |
CVPR  |
2005 |
DBLP DOI BibTeX RDF |
|
| 2 | Salim Chitroub |
Contextual classifier combination by Markov random fields-Bayes formalism and evolutionary programming. Application: image classification enhancement.  |
AICCSA  |
2005 |
DBLP DOI BibTeX RDF |
|
| 2 | Abdulkadir Sengür, Ibrahim Türkoglu, M. Cevdet Ince |
Unsupervised Image Segmentation Using Markov Random Fields.  |
TAINN  |
2005 |
DBLP DOI BibTeX RDF |
|
| 2 | Donald Metzler, W. Bruce Croft |
A Markov random field model for term dependencies.  |
SIGIR  |
2005 |
DBLP DOI BibTeX RDF |
information retrieval, Markov random fields, term dependence, phrases |
| 2 | David A. Clausi, Bing Yue |
Texture Segmentation Comparison Using Grey Level Co-Occurrence Probabilities and Markov Random Fields.  |
ICPR  |
2004 |
DBLP DOI BibTeX RDF |
|
| 2 | William Robson Schwartz, Hélio Pedrini |
Texture classification based on spatial dependence features using co-occurrence matrices and markov random fields.  |
ICIP  |
2004 |
DBLP DOI BibTeX RDF |
|
| 2 | Andreas Pichler, Robert B. Fisher, Markus Vincze |
Decomposition of range images using markov random fields.  |
ICIP  |
2004 |
DBLP DOI BibTeX RDF |
|
| 2 | Sugato Basu, Mikhail Bilenko, Raymond J. Mooney |
A probabilistic framework for semi-supervised clustering.  |
KDD  |
2004 |
DBLP DOI BibTeX RDF |
hidden Markov random fields, semi-supervised clustering, distance metric learning |
| 2 | Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega |
Bayesian multichannel image restoration using compound Gauss-Markov random fields.  |
IEEE Transactions on Image Processing  |
2003 |
DBLP DOI BibTeX RDF |
|
| 2 | Florence Forbes, Nathalie Peyrard |
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2003 |
DBLP DOI BibTeX RDF |
hidden Markov random fields, Image segmentation, model selection, partition function, Bayesian Information Criterion, mean field approximation |
| 2 | Francesco Lagona |
Adjacency selection in Markov Random Fields for high spatial resolution hyperspectral data.  |
Journal of Geographical Systems  |
2002 |
DBLP DOI BibTeX RDF |
|
| 2 | Marcos Martín-Fernández, Carlos Alberola |
A Bayesian Approach to in vivo Kidney Ultrasound Contour Detection Using Markov Random Fields.  |
MICCAI  |
2002 |
DBLP DOI BibTeX RDF |
|
| 2 | Song Chun Zhu, Xiuwen Liu |
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2002 |
DBLP DOI BibTeX RDF |
minimax entropy learning, Markov random fields, maximum-likelihood estimate, Markov chain Monte Carlo, importance sampling, texture modeling |
| 2 | Max Mignotte, Jean Meunier, Jean-Claude Tardif |
Endocardial Boundary E timation and Tracking in Echocardiographic Images using Deformable Template and Markov Random Fields.  |
Pattern Anal. Appl.  |
2001 |
DBLP BibTeX RDF |
Boundary estimation, Tracking, Markov Random Fields, Deformable templates, Echocardiography |
| 2 | Franco Bartolini, Roberto Caldelli, Vittorio Romagnoli |
Direct estimate of motion parameters by means of Markov random fields.  |
ICIP  |
2001 |
DBLP DOI BibTeX RDF |
|
| 2 | Gustavo J. Fernández, Julio Jacobo-Berlles, Marisa Bauzá, Patricia Borensztejn, Marta Mejail |
Parallelization of ARTUR Algorithm using PVM. (PDF / PS)  |
SIBGRAPI  |
2000 |
DBLP DOI BibTeX RDF |
ARTUR algorithm, algorithm parallelization, Markov random fields, noise, image restoration, image restoration, PVM, Parallel Virtual Machine, blur |
| 2 | Song Chun Zhu |
Stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1999 |
DBLP DOI BibTeX RDF |
Markov random field, energy minimization, Medial axis transform, jump-diffusion process |
| 2 | Song Chun Zhu |
Embedding Gestalt Laws in Markov Random Fields.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1999 |
DBLP DOI BibTeX RDF |
Gestalt laws, shape synthesis, Markov random field, active contour, maximum entropy, shape modeling, perceptual grouping |
| 2 | Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari |
Postprocessing of Recognized Strings Using Nonstationary Markovian Models.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1999 |
DBLP DOI BibTeX RDF |
Nonstationary hidden Markov models, zip code recognition, class conditional probability, Markov random fields, postprocessing |
| 2 | George Saon |
Cursive word recognition using a random field based hidden Markov model.  |
IJDAR  |
1999 |
DBLP DOI BibTeX RDF |
Offline handwriting recognition, Hidden Markov models, Markov random fields |
| 2 | Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer |
ML parameter estimation for Markov random fields with applications to Bayesian tomography.  |
IEEE Transactions on Image Processing  |
1998 |
DBLP DOI BibTeX RDF |
|
| 2 | Vittorio Murino, Andrea Trucco, Carlo S. Regazzoni |
A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1998 |
DBLP DOI BibTeX RDF |
underwater acoustic imaging, confidence-based approach, Markov random fields, Reconstruction, restoration, beamforming, physics-based vision |
| 2 | Mário A. T. Figueiredo, José M. N. Leitão |
Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle.  |
IEEE Transactions on Image Processing  |
1997 |
DBLP DOI BibTeX RDF |
|
| 2 | A. Mabbmann, Stefan Posch, Gerhard Sagerer, Daniel Schlüter |
Using Markov Random Fields for Contour-Based Grouping. (PDF / PS)  |
ICIP  |
1997 |
DBLP DOI BibTeX RDF |
contour-based grouping, contour-based segmentation, image primitives, image data regularities, Gestalt psychology, local evidence, hand labelled training set, abstraction, Markov random fields, Markov processes, hierarchy, real data |
| 2 | Thomas Meier, King Ngi Ngan, Gregory A. Crebbin |
A Robust Markovian Segmentation Based on Highest Confidence First (HCF). (PDF / PS)  |
ICIP  |
1997 |
DBLP DOI BibTeX RDF |
robust Markovian segmentation, highest confidence first, mean gray levels, wrong detected boundaries, edge information, small objects detection, edge detection, Markov random fields, images |
| 2 | Andrea Teschioni, Carlo S. Regazzoni, Elena Stringa |
A Markovian Approach to Color Image Restoration Based on Space Filling Curves. (PDF / PS)  |
ICIP  |
1997 |
DBLP DOI BibTeX RDF |
color image restoration, vectorial extension, scalar deterministic solution, scalar image, grey levels, vectorial space, Markov random fields, MRF, image restoration, space-filling curves, energy function, computational load, Euclidean norm |
| 2 | Jun Zhang 0006 |
The application of the Gibbs-Bogoliubov-Feynman inequality in mean field calculations for Markov random fields.  |
IEEE Transactions on Image Processing  |
1996 |
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