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Found 2212 publication records. Showing 2069 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
91 | Zhenyu Zhou, Richard M. Leahy |
Approximate maximum likelihood hyperparameter estimation for Gibbs priors. |
ICIP |
1995 |
DBLP DOI BibTeX RDF |
approximate maximum likelihood hyperparameter estimation, Gibbs priors, MAP image estimate, mean field approximation technique, multidimensional Gibbs distributions, one dimensional densities, Gibbs-Bogoliubov-Feynman bound, optimization, image reconstruction, image reconstruction, image restoration, maximum likelihood estimation |
81 | Yuri M. Suhov, Utkir A. Rozikov |
A Hard-Core Model on a Cayley Tree: An Example of a Loss Network. |
Queueing Syst. Theory Appl. |
2004 |
DBLP DOI BibTeX RDF |
Cayley trees, nearest-neighbor exclusion, hard core, Gibbs measures, translation invariant measures, periodic measures, splitting measures, extreme Gibbs measures, loss networks |
79 | Elchanan Mossel, Allan Sly |
Rapid mixing of Gibbs sampling on graphs that are sparse on average. |
SODA |
2008 |
DBLP BibTeX RDF |
Erd?s-Rényi random graphs, Glauber dynamics, Gibbs samplers, mixing time, Ising model |
70 | Sandeep Sudeep, Joseph Y. Hui |
Equivalent Gibbs Duhem Law in Network Queue. |
NETWORKING |
2005 |
DBLP DOI BibTeX RDF |
Macroscopic parameter, Microscopic Parameter, Gibbs Duhem law, Quality of Service |
70 | Baba C. Vemuri, Chhandomay Mandal, Shang-Hong Lai |
A Fast Gibbs Sampler for Synthesizing Constrained Fractals. |
IEEE Trans. Vis. Comput. Graph. |
1997 |
DBLP DOI BibTeX RDF |
Thin-plate-membrane splines, fractal surfaces, wavelet basis, preconditioning, Gibbs sampler, conjugate gradient algorithm |
60 | Sourav Chatterji, Lior Pachter |
Multiple organism gene finding by collapsed gibbs sampling. |
RECOMB |
2004 |
DBLP DOI BibTeX RDF |
hidden markov model, gibbs sampling, gene finding |
55 | Jae-Hun Jung, Bernie D. Shizgal |
Inverse Polynomial Reconstruction of Two Dimensional Fourier Images. |
J. Sci. Comput. |
2005 |
DBLP DOI BibTeX RDF |
Fourier approximation, Inverse polynomial reconstruction method, Two-dimensional image reconstruction, Shepp-Logan phantom image, Gibbs phenomenon |
54 | Nobuyuki Taga, Shigeru Mase |
Applications of Gibbs Measure Theory to Loopy Belief Propagation Algorithm. |
MICAI |
2006 |
DBLP DOI BibTeX RDF |
|
54 | Zhenyu Zhou, Richard M. Leahy, Jinyi Qi |
Approximate maximum likelihood hyperparameter estimation for Gibbs priors. |
IEEE Trans. Image Process. |
1997 |
DBLP DOI BibTeX RDF |
|
50 | Chuangbai Xiao, Jing Yu 0016, Kaina Su |
Gibbs artifact reduction for POCS super-resolution image reconstruction. |
Frontiers Comput. Sci. China |
2008 |
DBLP DOI BibTeX RDF |
the POCS method, Gibbs artifacts, edge detection, image reconstruction, super-resolution |
50 | Daniel David Walker, Eric K. Ringger |
Model-based document clustering with a collapsed gibbs sampler. |
KDD |
2008 |
DBLP DOI BibTeX RDF |
collapsed samplers, practical guidelines, document clustering, mcmc, em, gibbs sampling |
50 | Tapan K. Sengupta, G. Ganerwal, Anurag Dipankar |
High Accuracy Compact Schemes and Gibbs' Phenomenon. |
J. Sci. Comput. |
2004 |
DBLP DOI BibTeX RDF |
Compact difference scheme, Gibbs' pheno-menon, Burgers' equation, spectral analysis |
50 | Georgy L. Gimel'farb |
Basic and Fine Structure of Pairwise Interactions in Gibbs Texture Models. |
SSPR/SPR |
2000 |
DBLP DOI BibTeX RDF |
interaction structure, image texture, gibbs random field |
50 | Ibrahim M. Elfadel, Rosalind W. Picard |
Gibbs Random Fields, Cooccurrences, and Texture Modeling. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1994 |
DBLP DOI BibTeX RDF |
set-theoretic concept, aura set, aura measures, texture analysis tools, morphological dilation, neighborhood order, Markov processes, statistics, mathematical morphology, set theory, image texture, texture modeling, gray levels, Gibbs random fields, texture discrimination, cooccurrences |
50 | Valen E. Johnson, Wing Hung Wong, Xiaoping Hu 0001, Chin-Tu Chen |
Image Restoration Using Gibbs Priors: Boundary Modeling, Treatment of Blurring, and Selection of Hyperparameter. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1991 |
DBLP DOI BibTeX RDF |
hyperparameter selection, Gibbs priors, boundary modeling, iterative conditional averages, picture processing, picture processing, correlation, iterative methods, image restoration, Bayes methods, masking, correlation methods, Bayesian model, blurring, blurring |
49 | Thomas Blumensath, Michael E. Davies 0001 |
Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series. |
IEEE Trans. Signal Process. |
2007 |
DBLP DOI BibTeX RDF |
|
45 | Vinhthuy T. Phan, Max H. Garzon |
On codeword design in metric DNA spaces. |
Nat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Data coding in DNA, Metric DNA space, Codeword design, h-Distance, Maximal codes, DNA hybridization, Gibbs energy |
45 | Max H. Garzon, Vinhthuy T. Phan, Sujoy Roy, Andrew Neel |
In Search of Optimal Codes for DNA Computing. |
DNA |
2006 |
DBLP DOI BibTeX RDF |
Word design, encoding data on DNA, fault-tolerant DNA computing, maximal code sets, complex DNA self-assembly, shuffle codes, Gibbs energy |
45 | Rick Archibald, Anne Gelb |
Reducing the Effects of Noise in Image Reconstruction. |
J. Sci. Comput. |
2002 |
DBLP DOI BibTeX RDF |
Fourier reconstruction, Gegenbauer polynomials, edge detection, noise, Gibbs phenomenon |
44 | Ian Porteous, David Newman 0001, Alexander Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling |
Fast collapsed gibbs sampling for latent dirichlet allocation. |
KDD |
2008 |
DBLP DOI BibTeX RDF |
sampling, latent dirichlet allocation |
44 | Kimura Kimura |
Reinforcement learning in multi-dimensional state-action space using random rectangular coarse coding and Gibbs sampling. |
IROS |
2007 |
DBLP DOI BibTeX RDF |
|
44 | Caisheng He, Xianhua Dai |
An Improved Gibbs Sampling Algorithm for Finding TFBS. |
CIS (1) |
2005 |
DBLP DOI BibTeX RDF |
|
44 | Rahul Siddharthan, Erik van Nimwegen, Eric D. Siggia |
PhyloGibbs: A Gibbs Sampler Incorporating Phylogenetic Information. |
Regulatory Genomics |
2004 |
DBLP DOI BibTeX RDF |
|
44 | Ting Chen 0001, Dimitris N. Metaxas |
Gibbs Prior Models, Marching Cubes, and Deformable Models: A Hybrid Framework for 3D Medical Image Segmentation. |
MICCAI (2) |
2003 |
DBLP DOI BibTeX RDF |
|
44 | Anne Gelb, Rick Archibald |
Reducing the Gibbs ringing artifact in MRI scans while maintaining tissue boundary integrity. |
ISBI |
2002 |
DBLP DOI BibTeX RDF |
|
44 | Ting Chen 0001, Dimitris N. Metaxas |
Integration of Gibbs Prior Models and Deformable Models for 3D Medical Image Segmentation. |
ICPR (1) |
2002 |
DBLP DOI BibTeX RDF |
|
44 | T. A. Daggett, Ian R. Greenshields, Gehan Weerasinghe |
Asynchronous, Parallel Pseudo-Gibbs Classification of the VF Dataset. |
CBMS |
1999 |
DBLP DOI BibTeX RDF |
|
41 | Mark J. Gibbs, John S. Armstrong, Adrian J. Gibbs |
Individual sequences in large sets of gene sequences may be distinguished efficiently by combinations of shared sub-sequences. |
BMC Bioinform. |
2005 |
DBLP DOI BibTeX RDF |
|
41 | Mark J. Gibbs, John S. Armstrong, Adrian J. Gibbs |
Sister-Scanning: a Monte Carlo procedure for assessing signals in recombinant sequences. |
Bioinform. |
2000 |
DBLP DOI BibTeX RDF |
|
40 | Nizar Bouguila, Djemel Ziou, Riad I. Hammoud |
On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling. |
Pattern Anal. Appl. |
2009 |
DBLP DOI BibTeX RDF |
Generalized Dirichlet mixture, SVM, Images classification, EM, Gibbs sampling, Bayesian analysis, Metropolis-Hastings |
40 | Lifang Liu 0001, Licheng Jiao, Hongwei Huo |
A Greedy Two-stage Gibbs Sampling Method for Motif Discovery in Biological Sequences. |
BMEI (1) |
2008 |
DBLP DOI BibTeX RDF |
Gibbs sampling, Motif discovery, Transcription factors, Binding sites |
40 | Nazr-e-Batool, Ahmad Fadzil M. Hani, Vooi Voon Yap |
Markov-Gibbs Random Field Modeling of 3D Skin Surface Textures for Haptic Applications. |
ICCSA (2) |
2007 |
DBLP DOI BibTeX RDF |
3D skin texture, Markov random field, texture modeling, Gibbs random field |
40 | Nizar Bouguila, Djemel Ziou, Ernest Monga |
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications. |
Stat. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Mixture modeling, Maximum likelihood, EM, SAR images, Gibbs sampling, Bayesian analysis, SEM, Beta distribution, Metropolis-Hastings |
40 | Peter D. Lax |
Gibbs Phenomena. |
J. Sci. Comput. |
2006 |
DBLP DOI BibTeX RDF |
high order difference approximations, Gibbs phenomenon |
40 | Jan S. Hesthaven, Sidi Mahmoud Kaber, Laura B. Lurati |
Padé-Legendre Interpolants for Gibbs Reconstruction. |
J. Sci. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Padé interpolants, Legendre polynomials, Gibbs phenomenon |
40 | Krishnamoorthy Sivakumar, John Goutsias |
Morphologically Constrained Gibbs Random Fields. |
ICIP (2) |
1997 |
DBLP DOI BibTeX RDF |
stochastic image modeling, morphological constraints, morphological size density, simulation, image processing, shape modeling, Gibbs random fields, geometric information |
40 | Nicos Herodotou, Anastasios N. Venetsanopoulos, Levent Onural |
Image interpolation using a simple Gibbs random field model. |
ICIP |
1995 |
DBLP DOI BibTeX RDF |
simple Gibbs random field model, downsampled version, image expansion, texture parameters, iterative GRF methods, noniterative nonlinear filtering operation, computational complexity, computational complexity, interpolation, iterative methods, estimation, image restoration, image texture, nonlinear filters, random processes, image sampling, image interpolation, spatial interpolation, image recovery |
40 | Levent Onural, M. Bilge Alp, Mehmet Izzet Gürelli |
Gibbs Random Field Model Based Weight Selection for the 2-D Adaptive Weighted Median Filter. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1994 |
DBLP DOI BibTeX RDF |
Gibbs random field model based weight selection, 2-D adaptive weighted median filter, generalized filtering method, energy minimisation, 3/spl times/3 square neighborhood structure, clique energies, 3-pixel cliques, 2-pixel cliques, local statistics, filtering and prediction theory, adaptive filters, minimisation, linear filters, two-dimensional digital filters |
40 | Mehmet Izzet Gürelli, Levent Onural |
On a Parameter Estimation Method for Gibbs-Markov Random Fields. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1994 |
DBLP DOI BibTeX RDF |
Gibbs-Markov random fields, histogramming method, bias reduction based modification, pattern recognition, image processing, image processing, parameter estimation, parameter estimation, Markov processes, image recognition, image modelling, maximum likelihood method |
40 | Sridhar Lakshmanan, Haluk Derin |
Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1989 |
DBLP DOI BibTeX RDF |
pattern recognition, pattern recognition, simulated annealing, picture processing, picture processing, probability, optimisation, optimisation, parameter estimation, parameter estimation, maximum likelihood estimates, Gaussian noise, Gibbs random fields, adaptive segmentation |
39 | 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 |
39 | Emily Rocke |
Using Suffix Trees for Gapped Motif Discovery. |
CPM |
2000 |
DBLP DOI BibTeX RDF |
|
35 | Bin Kuang, Nini Rao |
A Two - Block Motif Discovery Method with Improved Accuracy. |
ICIC (1) |
2007 |
DBLP DOI BibTeX RDF |
Motif Base, Accuracy, Gibbs Sampling, Motif Discovery, Pwm |
35 | Zhuowen Tu, Song Chun Zhu |
Parsing Images into Regions, Curves, and Curve Groups. |
Int. J. Comput. Vis. |
2006 |
DBLP DOI BibTeX RDF |
curve grouping, data-driven Markov chain Monte Carlo, Metropolized Gibbs sampler, image segmentation, graph partition, perceptual organization |
35 | Ronan Fablet, Patrick Bouthemy |
Motion Recognition Using Nonparametric Image Motion Models Estimated from Temporal and Multiscale Cooccurrence Statistics. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2003 |
DBLP DOI BibTeX RDF |
Nonparametric motion analysis, Gibbs models, ML criterion, multiscale analysis, motion recognition, cooccurrences |
35 | Zhihong Yang, Ian R. Greenshields |
Ensemble Classification of the VF Dataset with Limited Merging. |
CBMS |
2001 |
DBLP DOI BibTeX RDF |
Gibbs classification, finite-time annealing, Visible Human Dataset |
35 | Ian R. Greenshields, Zhihong Yang |
A Multigrid Approach to the Gibbsian Classification of Mammograms. |
CBMS |
2000 |
DBLP DOI BibTeX RDF |
Gibbs, image classification, multigrid, annealing |
35 | A. Aydin Alatan, Levent Onural |
Object based 3-D motion and structure estimation. |
ICIP |
1995 |
DBLP DOI BibTeX RDF |
3D structure estimation, object based coding, 2D motion segmentation, robust point correspondences, linear 3D motion estimation algorithms, 3D motion parameters, error immunity, structure analysis method, knowledge based video coding, performance, image segmentation, motion estimation, parameter estimation, parameter estimation, video coding, motion analysis, experimental results, Bayes methods, Bayesian approach, coding efficiency, 3D motion estimation, Gibbs energy, object based video coding |
35 | Ari Veijanen |
A Simulation-Based Estimator for Hidden Markov Random Fields. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1991 |
DBLP DOI BibTeX RDF |
simulation-based estimator, hidden Markov random fields, pseudolikelihood method, picture processing, picture processing, probability, probability, parameter estimation, parameter estimation, Markov processes, Gibbs sampler |
35 | W. J. Lin, Stephen M. Pizer, Valen E. Johnson |
Boundary Estimation in Ultrasound Images. |
IPMI |
1991 |
DBLP DOI BibTeX RDF |
posterior, Volume rendering, Markov random field, Bayesian, Gibbs distribution, likelihood function, prior, surface estimation, data augmentation |
34 | Neila Mezghani, Amar Mitiche, Mohamed Cheriet |
Bayes Classification of Online Arabic Characters by Gibbs Modeling of Class Conditional Densities. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2008 |
DBLP DOI BibTeX RDF |
and, Clustering, classification, association rules, Associative memories |
34 | Hongbo Zhou, Zhiming Zheng 0001 |
Generalized criteria for uniqueness of Gibbs measures. |
ICPR |
2008 |
DBLP DOI BibTeX RDF |
|
34 | Ayman El-Baz, Aly A. Farag, Georgy L. Gimel'farb, Alaa E. Abdel-Hakim |
Robust Image Registration Based on Markov-Gibbs Appearance Model. |
ICPR (2) |
2006 |
DBLP DOI BibTeX RDF |
|
34 | Dmitrij Schlesinger |
Template Based Gibbs Probability Distributions for Texture Modeling and Segmentation. |
DAGM-Symposium |
2006 |
DBLP DOI BibTeX RDF |
|
34 | Ayman El-Baz, Asem M. Ali, Aly A. Farag, Georgy L. Gimel'farb |
A Novel Approach for Image Alignment Using a Markov-Gibbs Appearance Model. |
MICCAI (2) |
2006 |
DBLP DOI BibTeX RDF |
|
34 | Gang Yan, Wufan Chen |
A New Algorithm Based on Fuzzy Gibbs Random Fields for Image Segmentation. |
MIAR |
2004 |
DBLP DOI BibTeX RDF |
|
34 | Guang Tian, Feihu Qi |
A New Boundary Preserval and Noise Removal Method Combining Gibbs Random Field with Anisotropic-Diffusion. |
CIS |
2004 |
DBLP DOI BibTeX RDF |
|
34 | Dmitrij Schlesinger |
Gibbs Probability Distributions for Stereo Reconstruction. |
DAGM-Symposium |
2003 |
DBLP DOI BibTeX RDF |
|
34 | Robert G. Aykroyd |
Approximations for Gibbs Distribution Normalising Constants. |
Stat. Comput. |
2002 |
DBLP DOI BibTeX RDF |
Bayesian image analysis, normalising constant, reverse-logistic regression, Markov random field, Markov chain Monte Carlo, partition function |
34 | Olivier Teytaud, Hélène Paugam-Moisy |
Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms. |
ICANN |
2001 |
DBLP DOI BibTeX RDF |
|
34 | Ying Nian Wu, Song Chun Zhu, Xiuwen Liu |
Equivalence of Julesz and Gibbs Texture Ensembles. |
ICCV |
1999 |
DBLP DOI BibTeX RDF |
|
30 | Tomás Werner |
Revisiting the Linear Programming Relaxation Approach to Gibbs Energy Minimization and Weighted Constraint Satisfaction. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2010 |
DBLP DOI BibTeX RDF |
Weighted constraint satisfaction, marginal polytope, cut polytope, tree-reweighted max-product, Markov random field, graphical model, global constraint, linear programming relaxation, Gibbs distribution, cutting-plane algorithm, supermodularity |
30 | Linbin Yu, Yun Xu |
A Parallel Gibbs Sampling Algorithm for Motif Finding on GPU. |
ISPA |
2009 |
DBLP DOI BibTeX RDF |
Moti, GPGPU, CUDA, Gibbs Sampling |
30 | Radu Stoica, Xavier Descombes, Josiane Zerubia |
A Gibbs Point Process for Road Extraction from Remotely Sensed Images. |
Int. J. Comput. Vis. |
2004 |
DBLP DOI BibTeX RDF |
Gibbs point processes, Candy model, reversible jump MCMC dynamics, aerial and satellite images, hypothesis tests, road extraction |
29 | Finale Doshi-Velez, Zoubin Ghahramani |
Accelerated sampling for the Indian Buffet Process. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
29 | Jing Wang 0022, Tianfang Li, Hongbing Lu, Zhengrong Liang |
Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography. |
IEEE Trans. Medical Imaging |
2006 |
DBLP DOI BibTeX RDF |
|
29 | Samuel A. Andersson, Jens Lagergren |
Motif Yggdrasil: Sampling from a Tree Mixture Model. |
RECOMB |
2006 |
DBLP DOI BibTeX RDF |
|
29 | Adrian Barbu, Song Chun Zhu |
Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2005 |
DBLP DOI BibTeX RDF |
|
29 | Craig S. MacInnes |
The reconstruction of discontinuous piecewise polynomial signals. |
IEEE Trans. Signal Process. |
2005 |
DBLP DOI BibTeX RDF |
|
29 | Max H. Garzon, Kiranchand V. Bobba, Bryan P. Hyde |
Digital Information Encoding on DNA. |
Aspects of Molecular Computing |
2004 |
DBLP DOI BibTeX RDF |
|
29 | Jörn Grahl, Franz Rothlauf |
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints. |
GECCO (1) |
2004 |
DBLP DOI BibTeX RDF |
|
29 | Song Chun Zhu, Xiuwen Liu |
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? |
CVPR |
2000 |
DBLP DOI BibTeX RDF |
|
29 | Julien Boissy |
Cartographie micro-onde et quantification d'incertitudes par inversion-segmentation bayésienne et échantillonnage de Gibbs. (Microwave mapping and uncertainty quantification by Bayesian inversion-segmentation and Gibbs sampling). |
|
2022 |
RDF |
|
29 | Jean-Paul Berrut, Stefano De Marchi, Giacomo Elefante, Francesco Marchetti |
Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm. |
Appl. Math. Lett. |
2020 |
DBLP DOI BibTeX RDF |
|
29 | Mylène Bédard |
Hierarchical models: Local proposal variances for RWM-within-Gibbs and MALA-within-Gibbs. |
Comput. Stat. Data Anal. |
2017 |
DBLP DOI BibTeX RDF |
|
29 | John G. Lewis |
Algorithm 582: The Gibbs-Poole-Stockmeyer and Gibbs-King Algorithms for Reordering Sparse Matrices. |
ACM Trans. Math. Softw. |
1982 |
DBLP DOI BibTeX RDF |
|
29 | John G. Lewis |
Implementation of the Gibbs-Poole-Stockmeyer and Gibbs-King Algorithms. |
ACM Trans. Math. Softw. |
1982 |
DBLP DOI BibTeX RDF |
|
26 | Christopher DuBois, Padhraic Smyth |
Modeling relational events via latent classes. |
KDD |
2010 |
DBLP DOI BibTeX RDF |
collapsed gibbs sampling, relational data |
26 | Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim |
Multiscale Bayesian texture segmentation using neural networks and Markov random fields. |
Neural Comput. Appl. |
2009 |
DBLP DOI BibTeX RDF |
Multi-scale Bayesian texture segmentation, Neural networks, Wavelet transform, Markov random fields, Gibbs sampler |
26 | Chris A. Glasbey |
Two-dimensional generalisations of dynamic programming for image analysis. |
Stat. Comput. |
2009 |
DBLP DOI BibTeX RDF |
Forward-backward Gibbs sampler, Pulsed-field gel electrophoresis, Simulated annealing, Markov random field, Image restoration, Synthetic aperture radar, Image warping |
26 | Xin Chen, Caimei Lu, Yuan An, Palakorn Achananuparp |
Probabilistic models for topic learning from images and captions in online biomedical literatures. |
CIKM |
2009 |
DBLP DOI BibTeX RDF |
topic learning, bioinformatics, probabilistic models, automatic image annotation, Gibbs sampling, visual words |
26 | Kazuhito Shida |
Short Segment Frequency Equalization: A Simple and Effective Alternative Treatment of Background Models in Motif Discovery. |
PRIB |
2009 |
DBLP DOI BibTeX RDF |
Markov background model, Eukaryotic promoters, Gibbs sampling, Motif discovery, Stochastic method |
26 | Amr Ahmed 0001, Eric P. Xing, William W. Cohen, Robert F. Murphy |
Structured correspondence topic models for mining captioned figures in biological literature. |
KDD |
2009 |
DBLP DOI BibTeX RDF |
information retrieval, bioinformatics, topic models, gibbs sampling, multimodal data |
26 | Marco Alfò, Luciano Nieddu, Donatella Vicari |
A finite mixture model for image segmentation. |
Stat. Comput. |
2008 |
DBLP DOI BibTeX RDF |
Image segmentation, Maximum-likelihood, Gibbs distribution, Finite mixtures, Mean Field approximation |
26 | Bernardo Llanas, Sagrario Lantarón, Francisco J. Sáinz |
Constructive Approximation of Discontinuous Functions by Neural Networks. |
Neural Process. Lett. |
2008 |
DBLP DOI BibTeX RDF |
Approximation of discontinuous functions, Constructive approximation, Piecewise continuous functions, Neural networks, Gibbs phenomenon |
26 | Ying Shan, Harpreet S. Sawhney, Rakesh Kumar 0001 |
Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Nonoverlapping Cameras. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2008 |
DBLP DOI BibTeX RDF |
Fisher' s Linear Discriminants, vehicle matching, object reacquisition, non-overlapping camers, Object recognition, unsupervised learning, Gibbs Sampling, edge feature |
26 | Elitza N. Maneva, Elchanan Mossel, Martin J. Wainwright |
A new look at survey propagation and its generalizations. |
J. ACM |
2007 |
DBLP DOI BibTeX RDF |
sum-product, survey propagation, message-passing, Markov random field, belief propagation, Gibbs sampling, Satisfiability problems, factor graph, k-SAT |
26 | Philippe Auquiert, Olivier Gibaru, Eric Nyiri |
On the cubic L1 spline interpolant to the Heaviside function. |
Numer. Algorithms |
2007 |
DBLP DOI BibTeX RDF |
L 1 interpolation, Gibbs’ phenomenon, Cubic splines |
26 | Guoyan Zheng |
Incorporating Spatial Information into 3D-2D Image Registration. |
CAIP |
2007 |
DBLP DOI BibTeX RDF |
3D-2D registration, Kullback-Leibler bound, mutual information, CT, X-ray, Gibbs random field |
26 | Alfred Kume, Stephen G. Walker |
Sampling from compositional and directional distributions. |
Stat. Comput. |
2006 |
DBLP DOI BibTeX RDF |
Directional statistics, Bingham distribution, Gibbs sampling, Population genetics |
26 | Yonghong Tian 0001, Qiang Yang 0001, Tiejun Huang 0001, Charles X. Ling, Wen Gao 0001 |
Learning Contextual Dependency Network Models for Link-Based Classification. |
IEEE Trans. Knowl. Data Eng. |
2006 |
DBLP DOI BibTeX RDF |
link-based classification, link context, contextual dependency networks, Gibbs inference, machine learning, Data dependencies, hypertext/hypermedia |
26 | Ding Zhou, Eren Manavoglu, Jia Li 0001, C. Lee Giles, Hongyuan Zha |
Probabilistic models for discovering e-communities. |
WWW |
2006 |
DBLP DOI BibTeX RDF |
data mining, clustering, social network, email, statistical modeling, Gibbs sampling |
26 | Kazuhiro Otsuka, Yoshinao Takemae, Junji Yamato |
A probabilistic inference of multiparty-conversation structure based on Markov-switching models of gaze patterns, head directions, and utterances. |
ICMI |
2005 |
DBLP DOI BibTeX RDF |
Markov-switching model, face-to-face multiparty conversation, nonverbal cues, Markov chain Monte Carlo, dynamic Bayesian network, eye gaze, Gibbs sampler |
26 | Max H. Garzon, Vinhthuy T. Phan, Kiran C. Bobba, Raghuver Kontham |
Sensitivity and Capacity of Microarray Encodings. |
DNA |
2005 |
DBLP DOI BibTeX RDF |
h-distance, DNA chips, genomic analysis, classification and discrimination, data mining, fault-tolerant computing, microarrays, Data representation, Gibbs energy |
26 | Paul Fearnhead |
Particle filters for mixture models with an unknown number of components. |
Stat. Comput. |
2004 |
DBLP DOI BibTeX RDF |
particle filters, Gaussian mixture models, MCMC, Gibbs sampling, Dirichlet process |
26 | Hichem Snoussi, Ali Mohammad-Djafari |
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior. |
J. VLSI Signal Process. |
2004 |
DBLP DOI BibTeX RDF |
HMM models, EM algorithm, Gibbs sampling, source separation |
26 | Vinhthuy T. Phan, Max H. Garzon |
The Capacity of DNA for Information Encoding. |
DNA |
2004 |
DBLP DOI BibTeX RDF |
Information storage capacity of DNA, h-distance, codeword design, shuffle codes, abiotic data on DNA chips, Gibbs energy |
26 | Scott A. Sarra |
The spectral signal processing suite. |
ACM Trans. Math. Softw. |
2003 |
DBLP DOI BibTeX RDF |
Gegenbauer postprocessing, Gibbs-Wilbraham phenomenon, chebyshev, Java, edge detection |
26 | Luisa Franconi, Julian Stander |
Spatial and non-spatial model-based protection procedures for the release of business microdata. |
Stat. Comput. |
2003 |
DBLP DOI BibTeX RDF |
Community Innovation Survey, conditional autoregressive scheme, performance assessment for disclosure limitation methods, confidentiality, Gibbs sampler |
26 | Anke Neumann |
Graphical Gaussian Shape Models and Their Application to Image Segmentation. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2003 |
DBLP DOI BibTeX RDF |
Bookstein coordinates, graphical Gaussian models, Bayesian image segmentation, Markov chain Monte Carlo sampling methods, slice sampler, Markov random fields, Shape, Gibbs sampler, conditional independence |
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