A simplified approach to the HMM based texture analysis and its application to document segmentation
Pattern Recognition Letters
A Bayesian interpretation for the exponential correlation associative memory
Pattern Recognition Letters
Pattern Recognition Letters
Alternative Neural Network Training Methods
IEEE Expert: Intelligent Systems and Their Applications
Segmentation of MRI trabecular-bone images using network of synchronised oscillators
Machine Graphics & Vision International Journal
Solution quality of random search methods for discrete stochastic optimization
Mathematics and Computers in Simulation
Image contrast enhancement via entropy production
Real-Time Imaging - Special issue on imaging in bioinformatics: Part III
Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition
Pattern Recognition Letters
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
A hybrid parallel projection approach to object-based image restoration
Pattern Recognition Letters
Image segmentation based on merging of sub-optimal segmentations
Pattern Recognition Letters
Two-dimensional cellular automata and the analysis of correlated time series
Pattern Recognition Letters
Maximum likelihood combination of multiple clusterings
Pattern Recognition Letters
Image segmentation by unsupervised sparse clustering
Pattern Recognition Letters
A multiresolution diffused expectation-maximization algorithm for medical image segmentation
Computers in Biology and Medicine
On fast supervised learning for normal mixture models with missing information
Pattern Recognition
Approaches for automated detection and classification of masses in mammograms
Pattern Recognition
A colorization algorithm based on local MAP estimation
Pattern Recognition
Markov random fields for catadioptric image processing
Pattern Recognition Letters
Microarray image gridding with stochastic search based approaches
Image and Vision Computing
Vector quantization and fuzzy ranks for image reconstruction
Image and Vision Computing
Combined image compression and denoising using wavelets
Image Communication
A statistical framework based on a family of full range autoregressive models for edge extraction
Pattern Recognition Letters
High-precision stereo disparity estimation using HMMF models
Image and Vision Computing
Using the Gibbs sampler for conditional simulation of Gaussian-based random fields
Computers & Geosciences
Computational Statistics & Data Analysis
A Finite Markov Random Field approach to fast edge-preserving image recovery
Image and Vision Computing
Using Fourier local magnitude in adaptive smoothness constraints in motion estimation
Pattern Recognition Letters
Bootstrapping estimation for estimating relative potency in combinations of bioassays
Computational Statistics & Data Analysis
Long correlation Gaussian random fields: Parameter estimation and noise reduction
Digital Signal Processing
Bayesian training of neural networks using genetic programming
Pattern Recognition Letters
Image segmentation by clustering of spatial patterns
Pattern Recognition Letters
Signal Processing
Automatic selection of MRF control parameters by reactive tabu search
Image and Vision Computing
Detecting defects with image data
Computational Statistics & Data Analysis
Distributed Markovian segmentation: Application to MR brain scans
Pattern Recognition
Colorization in YCbCr color space and its application to JPEG images
Pattern Recognition
MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
Computer Vision and Image Understanding
Environmental Modelling & Software
Non-stationary fuzzy Markov chain
Pattern Recognition Letters
Non-parametric bootstrap ensembles for detection of tumor lesions
Pattern Recognition Letters
A decentralized probabilistic approach to articulated body tracking
Computer Vision and Image Understanding
A use of discontinuity elements in coarse and fine stereo matching
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Segmentation of color images via reversible jump MCMC sampling
Image and Vision Computing
Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields
Computational Statistics & Data Analysis
An EM/E-MRF algorithm for adaptive model based tracking in extremely poor visibility
Image and Vision Computing
A Bayesian approach to estimate the marginal loss distributions in operational risk management
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Adaptive rejection Metropolis sampling using Lagrange interpolation polynomials of degree 2
Computational Statistics & Data Analysis
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
A Markov random field model for mode detection in cluster analysis
Pattern Recognition Letters
On Bayesian estimation and model comparison of an integrated structural equation model
Computational Statistics & Data Analysis
A nonparametric procedure for blind image deblurring
Computational Statistics & Data Analysis
Image recognition via Bayesian likelihood analysis of wavelet coefficients
Expert Systems with Applications: An International Journal
Image magnification based on a blockwise adaptive Markov random field model
Image and Vision Computing
Statistical pattern recognition in remote sensing
Pattern Recognition
Extension of higher-order HMC modeling with application to image segmentation
Digital Signal Processing
Bayesian multiple comparisons of simply ordered means using priors with a point mass
Computational Statistics & Data Analysis
A classical and Bayesian estimation of a k-components load-sharing parallel system
Computational Statistics & Data Analysis
Graph spectral image smoothing using the heat kernel
Pattern Recognition
Probabilistic relaxation labelling using the Fokker-Planck equation
Pattern Recognition
Statistical tests for validating geostatistical simulation algorithms
Computers & Geosciences
A novel pixon-representation for image segmentation based on Markov random field
Image and Vision Computing
Iterated dynamic programming and quadtree subregioning for fast stereo matching
Image and Vision Computing
Computer Vision and Image Understanding
A selective Bayes Classifier for classifying incomplete data based on gain ratio
Knowledge-Based Systems
A Mumford-Shah model on lattice
Image and Vision Computing
Editorial: Discrete optimization in computer vision
Computer Vision and Image Understanding
Scalable parallel multiple recursive generators of large order
Parallel Computing
Computational Statistics & Data Analysis
A new method for parameter estimation of edge-preserving regularization in image restoration
Journal of Computational and Applied Mathematics
SAR image segmentation based on mixture context and wavelet hidden-class-label Markov random field
Computers & Mathematics with Applications
Color image segmentation using adaptive mean shift and statistical model-based methods
Computers & Mathematics with Applications
Optical-flow based on an edge-avoidance procedure
Computer Vision and Image Understanding
Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping
Computational Statistics & Data Analysis
Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans
Artificial Intelligence in Medicine
Computational Statistics & Data Analysis
Nakagami Markov random field as texture model for ultrasound RF envelope image
Computers in Biology and Medicine
Parameter estimation in a model for misclassified Markov data - a Bayesian approach
Computational Statistics & Data Analysis
Learning complex background by multi-scale discriminative model
Pattern Recognition Letters
Learning Bayesian network parameters under incomplete data with domain knowledge
Pattern Recognition
Journal of Multivariate Analysis
Note: The expressive power of binary submodular functions
Discrete Applied Mathematics
Analysis of multivariate skew normal models with incomplete data
Journal of Multivariate Analysis
Global optimization for first order Markov Random Fields with submodular priors
Discrete Applied Mathematics
A new multiobjective simulated annealing based clustering technique using symmetry
Pattern Recognition Letters
A Bayesian inference approach to identify a Robin coefficient in one-dimensional parabolic problems
Journal of Computational and Applied Mathematics
Iterated conditional modes for inverse dithering
Signal Processing
Classification and interactive segmentation of EEG synchrony patterns
Pattern Recognition
Finding the biologically optimal alignment of multiple sequences
Artificial Intelligence in Medicine
MCMC algorithms for constrained variance matrices
Computational Statistics & Data Analysis
A hybrid EM approach to spatial clustering
Computational Statistics & Data Analysis
Assessing local influence for nonlinear structural equation models with ignorable missing data
Computational Statistics & Data Analysis
Deletion measures for generalized linear mixed effects models
Computational Statistics & Data Analysis
Boltzmann machines for speech recognition
Computer Speech and Language
Unsupervised image segmentation using triplet Markov fields
Computer Vision and Image Understanding
Homeostatic image perception: An artificial system
Computer Vision and Image Understanding
Object recognition with uncertain geometry and uncertain part detection
Computer Vision and Image Understanding
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
An improved level set for liver segmentation and perfusion analysis in MRIs
IEEE Transactions on Information Technology in Biomedicine
Semi-blind image restoration using a local neural approach
Neurocomputing
A computer package for modeling and simulating regionalized count variables
Computers & Geosciences
Detection of the foveal avascular zone on retinal angiograms using Markov random fields
Digital Signal Processing
Optimisation of spatial allocation of forestry activities within a forest stand
Computers and Electronics in Agriculture
Computers and Operations Research
Comparison of stochastic and deterministic solution methods in Bayesian estimation of 2D motion
Image and Vision Computing
Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection
Image and Vision Computing
Robust motion estimation under varying illumination
Image and Vision Computing
Skin detection using pairwise models
Image and Vision Computing
Multisensor triplet Markov fields and theory of evidence
Image and Vision Computing
Simulated annealing based pattern classification
Information Sciences: an International Journal
Learning parameters of Bayesian networks from incomplete data via importance sampling
International Journal of Approximate Reasoning
Metabolica: A statistical research tool for analyzing metabolic networks
Computer Methods and Programs in Biomedicine
A multiresolution flow-based multiphase image segmentation
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Bisection approach for pixel labelling problem
Pattern Recognition
Markov random field approach to region extraction using Tabu Search
Journal of Visual Communication and Image Representation
Block-based motion field segmentation for video coding
Journal of Visual Communication and Image Representation
Subsampling of Markov random fields
Journal of Visual Communication and Image Representation
Restoration of images degraded by compound noise sources using Markov random field models
Journal of Visual Communication and Image Representation
Noisy image restoration using multiresolution markov random fields
Journal of Visual Communication and Image Representation
Incremental estimation of image flow using a Kalman filter
Journal of Visual Communication and Image Representation
Unsupervised learning with stochastic gradient
Neurocomputing
Paper: Simulating modular neural networks on message-passing multiprocessors
Parallel Computing
Multiband segmentation based on a hierarchical Markov model
Pattern Recognition
Semi-supervised statistical region refinement for color image segmentation
Pattern Recognition
Scalable diagnosis in IP networks using path-based measurement and inference: A learning framework
Journal of Visual Communication and Image Representation
Stochastic super-resolution image reconstruction
Journal of Visual Communication and Image Representation
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization
Information Sciences: an International Journal
Bayesian analysis of semiparametric reproductive dispersion mixed-effects models
Computational Statistics & Data Analysis
Edge structure preserving image denoising
Signal Processing
A general parallelization strategy for random path based geostatistical simulation methods
Computers & Geosciences
Scalable object-based video retrieval in HD video databases
Image Communication
International Journal of Approximate Reasoning
A hybrid Kaczmarz-Conjugate Gradient algorithm for image reconstruction
Mathematics and Computers in Simulation
Pattern Recognition Letters
Mixed-state causal modeling for statistical KL-based motion texture tracking
Pattern Recognition Letters
Comparison of optimization techniques for sequence pattern discovery by maximum-likelihood
Pattern Recognition Letters
Truncated Gaussian simulation of discrete-valued, ordinal coregionalized variables
Computers & Geosciences
Maximum Evidence Method for classification of brain tissues in MRI
Pattern Recognition Letters
Brief paper: Decentralized coordination of autonomous swarms using parallel Gibbs sampling
Automatica (Journal of IFAC)
Image denoising based on hierarchical Markov random field
Pattern Recognition Letters
Original Article: Bayesian computation for geometric process in maintenance problems
Mathematics and Computers in Simulation
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Local MAP estimation for quality improvement of compressed color images
Pattern Recognition
Fuzzy neural networks for water level and discharge forecasting with uncertainty
Environmental Modelling & Software
Expert Systems with Applications: An International Journal
Gibbs ensembles for nearly compatible and incompatible conditional models
Computational Statistics & Data Analysis
Journal of Visual Communication and Image Representation
Simulated annealing algorithm with adaptive neighborhood
Applied Soft Computing
MCMC sampling for joint estimation of phase distortions and transmitted symbols in OFDM systems
Digital Signal Processing
Learning spatio-temporal dependency of local patches for complex motion segmentation
Computer Vision and Image Understanding
n-Consistent robust integration-based estimation
Journal of Multivariate Analysis
A neuro-computational intelligence analysis of the global consumer software piracy rates
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis
Computational Statistics & Data Analysis
Crack detection in X-ray images using fuzzy index measure
Applied Soft Computing
Stochastic image denoising based on Markov-chain Monte Carlo sampling
Signal Processing
Automated Marsh-like classification of celiac disease in children using local texture operators
Computers in Biology and Medicine
Pattern Recognition Letters
Global optimization of wavelet-domain hidden Markov tree for image segmentation
Pattern Recognition
Parallel implementation of simulated annealing to reproduce multiple-point statistics
Computers & Geosciences
Entropy based region selection for moving object detection
Pattern Recognition Letters
A method for mixed states texture segmentation with simultaneous parameter estimation
Pattern Recognition Letters
Label-dependent node classification in the network
Neurocomputing
Locally adaptive image denoising by a statistical multiresolution criterion
Computational Statistics & Data Analysis
A wavelet-based Markov random field segmentation model in segmenting microarray experiments
Computer Methods and Programs in Biomedicine
Information Security Tech. Report
Dirichlet Gaussian mixture model: Application to image segmentation
Image and Vision Computing
Inpainting with image patches for compression
Journal of Visual Communication and Image Representation
Infinite Liouville mixture models with application to text and texture categorization
Pattern Recognition Letters
Improved watershed transform for tumor segmentation: Application to mammogram image compression
Expert Systems with Applications: An International Journal
Predicting panel data binary choice with the gibbs posterior
Neural Computation
Multistability and perceptual inference
Neural Computation
Learning-based image restoration for compressed images
Image Communication
Mixtures of truncated basis functions
International Journal of Approximate Reasoning
Journal of Multivariate Analysis
Range map superresolution-inpainting, and reconstruction from sparse data
Computer Vision and Image Understanding
Computational Statistics & Data Analysis
Synthesizing open worlds with constraints using locally annealed reversible jump MCMC
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Importance sampling-based estimation over AND/OR search spaces for graphical models
Artificial Intelligence
A probabilistic approach for semi-supervised nearest neighbor classification
Pattern Recognition Letters
GPU-accelerated MRF segmentation algorithm for SAR images
Computers & Geosciences
Coordinate-based versus structural approaches to brain image analysis
Artificial Intelligence in Medicine
Bayesian networks for patient monitoring
Artificial Intelligence in Medicine
Gibbs sampler-based coordination of autonomous swarms
Automatica (Journal of IFAC)
Scene Aware Detection and Block Assignment Tracking in crowded scenes
Image and Vision Computing
On statistically meaningful geometric properties of digital three-dimensional structures of proteins
Mathematical and Computer Modelling: An International Journal
Importance sampling algorithms for Bayesian networks: Principles and performance
Mathematical and Computer Modelling: An International Journal
On a 3D-matrix representation of the tertiary structure of a protein
Mathematical and Computer Modelling: An International Journal
Modelling inpatient length of stay by a hierarchical mixture regression via the EM algorithm
Mathematical and Computer Modelling: An International Journal
Very fast simulated re-annealing
Mathematical and Computer Modelling: An International Journal
Genetic Algorithms and Very Fast Simulated Reannealing: A comparison
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Data mining and knowledge discovery via statistical mechanics in nonlinear stochastic systems
Mathematical and Computer Modelling: An International Journal
Statistical mechanics of financial markets: Exponential modifications to Black-Scholes
Mathematical and Computer Modelling: An International Journal
Modeling distributed concept representation in Hopfield neural networks
Mathematical and Computer Modelling: An International Journal
Simulated annealing: Practice versus theory
Mathematical and Computer Modelling: An International Journal
A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood
Computational Statistics & Data Analysis
Multiresolution filtering with application to image segmentation
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Bayesian models for medical image biology using monte carlo markov chains techniques
Mathematical and Computer Modelling: An International Journal
Random effects in promotion time cure rate models
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Computational Statistics & Data Analysis
New algorithms for convex cost tension problem with application to computer vision
Discrete Optimization
Restoration of binary images using stochastic relaxation with annealing
Pattern Recognition Letters
Intelligent analysis of clinical time series: an application in the diabetes mellitus domain
Artificial Intelligence in Medicine
Search-based model transformation by example
Software and Systems Modeling (SoSyM)
MDS-based segmentation model for the fusion of contour and texture cues in natural images
Computer Vision and Image Understanding
An efficient learning procedure for deep boltzmann machines
Neural Computation
Computational Statistics & Data Analysis
Simulated annealing for higher dimensional projection depth
Computational Statistics & Data Analysis
A semiparametric Bayesian approach to generalized partial linear mixed models for longitudinal data
Computational Statistics & Data Analysis
Parameter estimation in the spatial auto-logistic model with working independent subblocks
Computational Statistics & Data Analysis
A web interface for 3D visualization and interactive segmentation of medical images
Proceedings of the 17th International Conference on 3D Web Technology
Semiparametric transformation models with Bayesian P-splines
Statistics and Computing
Latent variable models with ordinal categorical covariates
Statistics and Computing
Convex Approximation Technique for Interacting Line Elements Deblurring: a New Approach
Journal of Mathematical Imaging and Vision
An enhanced Gibbs sampler algorithm for non-conditional simulation of Gaussian random vectors
Computers & Geosciences
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
A spatially-constrained normalized Gamma process prior
Expert Systems with Applications: An International Journal
Credit Rating Change Modeling Using News and Financial Ratios
ACM Transactions on Management Information Systems (TMIS)
Tutorial and selected approaches on parameter learning in bayesian network with incomplete data
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Discussion: Mathematical statistics and computer vision
Image and Vision Computing
Automatic stylistic manga layout
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Monte Carlo cluster refinement for noise robust image segmentation
Journal of Visual Communication and Image Representation
Bilateral Markov mesh random field and its application to image restoration
Journal of Visual Communication and Image Representation
An efficient proposal distribution for Metropolis-Hastings using a B-splines technique
Computational Statistics & Data Analysis
Hybrid censoring: Models, inferential results and applications
Computational Statistics & Data Analysis
Markov random fields for improving 3D mesh analysis and segmentation
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
Leveraging relationships in social networks for sentiment analysis
Proceedings of the 18th Brazilian symposium on Multimedia and the web
A review on probabilistic graphical models in evolutionary computation
Journal of Heuristics
Tractable triangles and cross-free convexity in discrete optimisation
Journal of Artificial Intelligence Research
Estimating compact yet rich tree insertion grammars
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Constrained sampling using simulated annealing
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels
Journal of Computational and Applied Mathematics
A generative model for rank data based on insertion sort algorithm
Computational Statistics & Data Analysis
Joint topic modeling for event summarization across news and social media streams
Proceedings of the 21st ACM international conference on Information and knowledge management
Genetic algorithm-based reconstruction of old films corrupted by scratches and blotches
Pattern Recognition Letters
A survey of graph theoretical approaches to image segmentation
Pattern Recognition
A generalized automatic clustering algorithm in a multiobjective framework
Applied Soft Computing
A plausible texture enlargement and editing compound Markovian model
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Automated intraventricular septum segmentation using non-local spatio-temporal priors
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Closed-Form relaxation for MRF-MAP tissue classification using discrete laplace equations
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
Bayesian nonparametric inverse reinforcement learning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Using equivalences of worlds for aggregation semantics of relational conditionals
KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems
Knowledge-Based Systems
Matte based generation of land cover maps
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Journal of Multivariate Analysis
Review article: Multilabel partition moves for MRF optimization
Image and Vision Computing
Sequential Monte Carlo simulated annealing
Journal of Global Optimization
Model-based adaptive spatial sampling for occurrence map construction
Statistics and Computing
Computing Optimal Recovery Policies for Financial Markets
Operations Research
Window annealing for pixel-labeling problems
Computer Vision and Image Understanding
A new populatoin-based simulated annealing algorithm
Proceedings of the Winter Simulation Conference
A Hopfield neural network applied to the fuzzy maximum cut problem under credibility measure
Information Sciences: an International Journal
Data interpolation for participatory sensing systems
Pervasive and Mobile Computing
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Toward parts-based scene understanding with pixel-support parts-sparse pictorial structures
Pattern Recognition Letters
Improving markov chain monte carlo estimation with agent-based models
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
In-Network Computations of Machine-to-Machine Communications for Wireless Robotics
Wireless Personal Communications: An International Journal
Model guided sampling optimization with gaussian processes for expensive black-box optimization
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Classifying online social network users through the social graph
FPS'12 Proceedings of the 5th international conference on Foundations and Practice of Security
Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Community detection in content-sharing social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Active learning and inference method for within network classification
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Stochastic variational inference
The Journal of Machine Learning Research
Bayesian mixed-effects inference on classification performance in hierarchical data sets
The Journal of Machine Learning Research
AnchorMF: towards effective event context identification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Spatial Uncertainty Analysis in Ecological Biology
International Journal of Systems Biology and Biomedical Technologies
Coupling Image Restoration and Segmentation: A Generalized Linear Model/Bregman Perspective
International Journal of Computer Vision
Using Constrained Optimization for the Identification of Convergence Clubs
Computational Economics
Probabilistic terrain classification in unstructured environments
Robotics and Autonomous Systems
Computer Vision and Image Understanding
Appliance State Estimation based on Particle Filtering
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
Edge multi-scale markov random field model based medical image segmentation in wavelet domain
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Dealing with multiple local modalities in latent class profile analysis
Computational Statistics & Data Analysis
Training restricted Boltzmann machines: An introduction
Pattern Recognition
Geographic aspects of tie strength and value of information in social networking
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Computer Methods and Programs in Biomedicine
Gene expression data clustering using a multiobjective symmetry based clustering technique
Computers in Biology and Medicine
On a System of Adaptive Coupled PDEs for Image Restoration
Journal of Mathematical Imaging and Vision
Social network analysis for customer churn prediction
Applied Soft Computing
Linear Bayes estimator for the two-parameter exponential family under type II censoring
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
A hierarchical Bayes model for biomarker subset effects in clinical trials
Computational Statistics & Data Analysis
Two machine-learning techniques for mining solutions of the ReleasePlannerTM decision support system
Information Sciences: an International Journal
Computational Statistics & Data Analysis
Journal of Computational Physics
An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling
Journal of Computational Physics
Moving object detection using Markov Random Field and Distributed Differential Evolution
Applied Soft Computing
Computer Vision and Image Understanding
Gaussian mixture model based segmentation methods for brain MRI images
Artificial Intelligence Review
Active Rare Class Discovery and Classification Using Dirichlet Processes
International Journal of Computer Vision
International Journal of Computer Vision
Convex Relaxation of a Class of Vertex Penalizing Functionals
Journal of Mathematical Imaging and Vision
Multi-object segmentation approach based on topological derivative and level set method
Integrated Computer-Aided Engineering
On MAP and MMSE estimators for the co-sparse analysis model
Digital Signal Processing
An overview of bayesian methods for neural spike train analysis
Computational Intelligence and Neuroscience - Special issue on Modeling and Analysis of Neural Spike Trains
Hi-index | 0.17 |
We make an analogy between images and statistical mechanics systems. Pixel gray levels and the presence and orientation of edges are viewed as states of atoms or molecules in a lattice-like physical system. The assignment of an energy function in the physical system determines its Gibbs distribution. Because of the Gibbs distribution, Markov random field (MRF) equivalence, this assignment also determines an MRF image model. The energy function is a more convenient and natural mechanism for embodying picture attributes than are the local characteristics of the MRF. For a range of degradation mechanisms, including blurring, nonlinear deformations, and multiplicative or additive noise, the posterior distribution is an MRF with a structure akin to the image model. By the analogy, the posterior distribution defines another (imaginary) physical system. Gradual temperature reduction in the physical system isolates low energy states (``annealing''), or what is the same thing, the most probable states under the Gibbs distribution. The analogous operation under the posterior distribution yields the maximum a posteriori (MAP) estimate of the image given the degraded observations. The result is a highly parallel ``relaxation'' algorithm for MAP estimation. We establish convergence properties of the algorithm and we experiment with some simple pictures, for which good restorations are obtained at low signal-to-noise ratios.