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The theory and practice of Bayesian image labeling

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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“Neural” computation of decisions in optimization problems
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Decision theory and artificial intelligence: I. A semantics-based region analyzer
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The psychology of computer vision
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Cooperating processes for low-level vision: A survey
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A method for managing evidential reasoning in a hierarchical hypothesis space
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On evidential reasoning in a hierarchy of hypotheses
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The use of Markov Random Fields as models of texture
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An interpretation for probabilistic relaxation
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Segmentation of textured images using Gibbs random fields
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Computing with Connections
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Optimal Statistical Techniques for Combining Pieces of Information Applied to 3-D Complex Object Position Estimation
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On compatibility and support functions in probabilistic relaxation
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Equation of State Calculations by Fast Computing Machines
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Analog "neuronal" networks in early vision.
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Probabilistic Solution of Ill-Posed Problems in Computational Vision
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Markov Random Fields and Their Applications
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I. The Ising model
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A New Probabilistic Relaxation Scheme
inferredcites →https://doi.org/10.1109/tpami.1983.4767341openalex-snapshot
Markov Random Field Texture Models
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Bayesian Recognition of Local 3-D Shape by Approximating Image Intensity Functions with Quadric Polynomials
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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1109/tpami.1987.4767871openalex-snapshot
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
inferredcites →https://doi.org/10.1109/tpami.1987.4767895openalex-snapshot
Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields
inferredcites →https://doi.org/10.1109/tpami.1987.4767896openalex-snapshot
Scene Segmentation from Visual Motion Using Global Optimization
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Scene Labeling by Relaxation Operations
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Spatial Interaction and the Statistical Analysis of Lattice Systems
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On the Statistical Analysis of Dirty Pictures
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Subjective bayesian methods for rule-based inference systems
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Equation of state calculations by fast computing machines
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Probability and the Weighing of Evidence.
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Probability and the Weighing of Evidence.
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Statistical Analysis of Non-Lattice Data
inferredcites →https://doi.org/10.7551/mitpress/7132.001.0001openalex-snapshot
Visual Reconstruction

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Color Image Segmentation Using Adaptive Spatial Gaussian Mixture Model
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A Step Towards Efficient Bayesian Signal Reconstruction
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Efficient Loopy Belief Propagation Using the Four Color Theorem
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Separation of Moving Regions from Background in an Image Sequence Acquired with a Mobil Camera
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Stereo-Based Dense Disparity Estimation for Lunar Surface
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Stereozuordnung von hierarchischen Konturgruppen mot Markov Random Fields
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Perzeptives Gruppieren von Ko- und Kurvilinearitäten mittels Markov Random Fields
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Recognition of 3-D objects in multiple statuses based on Markov random field models
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Retracted: A Quality Representation of Tumor in Breast Using Hybrid Model Watershed Transform and Markov Random Fields
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MRF parameter estimation based on weighted Least Squares Fit method
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Parallel structure recognition with uncertainty: coupled segmentation and matching
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Motion detection robust to perturbations: A statistical regularization and temporal integration framework
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Fast approximate energy minimization via graph cuts
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Region segmentation via deformable model-guided split and merge
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Efficient parallel message computation for MAP inference
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A distributed solution to detect targets in crowds using visual sensor networks
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Robust 3-D motion estimation and depth layering
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Maximum likelihood texture classification and Bayesian texture segmentation using discrete wavelet frames
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Color image segmentation with watershed on color histogram and Markov random fields
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Detection of multiple moving objects using multiscale MRF with camera motion compensation
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Subpixel estimation of normal displacements along contours using MRF-models
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MRF-based motion segmentation exploiting a 2D motion model robust estimation
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Adaptive detection of moving objects using multiscale techniques
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Using Markov random fields for contour-based grouping
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A robust Markovian segmentation based on highest confidence first (HCF)
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A flexible Bayesian framework for image segmentation
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A robust method of identifying and measuring fibrous cap in 3D time-of-flight MR image
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Moving object detection in color image sequences using region-level graph labeling
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Towards an integrated framework for contour-based grouping and object recognition using Markov random fields
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Texture-based segmentation of satellite weather imagery
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Atherosclerotic blood vessel tracking and lumen segmentation in topology changes situations of MR image sequences
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MRF-motion segmentation based on dominant motion estimation and the detection of uncovered regions
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Non-purposive perceptual region grouping
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Decomposition of range images using markov random fields
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An energy-basfd framework using global spatial constraints for the stereo correspondence problem
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Deformable image registration
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Image super-segmentation: Segmentation with multiple labels from shuffled observations
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Consumer video structuring by probabilistic merging of video segments
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An automatic segmentation algorithm for moving objects in video sequences under multi-constraints
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Learning Deep Neural Networks for High Dimensional Output Problems
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An image labeling algorithm based on cooperative game theory
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Bayesian learning, global competition, and unsupervised image segmentation
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Model-based segmentation and estimation of 3D surfaces from two or more intensity images using Markov random fields
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Issues in selective perception
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Relaxation labeling of Markov random fields
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Detection and location of moving objects using deterministic relaxation algorithms
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A Markov random field model of subjective contour perception
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Markovian random fields energy minimization algorithms
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Color and/or texture segmentation using deterministic relaxation and fast marching algorithms
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A new Bayesian approach to image denoising with a combination of MRFs and pixon method
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A novel method for camera planar motion detection and robust estimation of the 1D trifocal tensor
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Bayesian rendering with non-parametric multiscale prior model
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Semantic object segmentation by a spatio-temporal MRF model
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Systematic static shadow detection
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Representing probability distributions of image segments and segmentations
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Phase unwrapping using region-based Markov Random Field model
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Improved watershed segmentation algorithm for high resolution remote sensing images using texture
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Image segmentation via ant colony algorithm and loopy belief propagation algorithm
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Three-dimensional neurite tracing under globally varying contrast
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A Review of Stereo-Photogrammetry Method for 3-D Reconstruction in Computer Vision
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Acoustic speech to lip feature mapping for multimedia applications
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A Stereo Matching Algorithm based on Genetic Algorithm with Propagation Stratagem
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Robotic Arm Assistance System Based on Simple Stereo Matching and Q-Learning Optimization
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A Theoretical Framework for Hyperspectral Anomaly Detection Using Spectral and SpatialA PrioriInformation
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Automatic detection technology of surface defects on plastic products based on machine vision
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A topology independent active contour tracking
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Energy-based segmentation of very sparse range surfaces
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