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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 600 occurrences of 340 keywords
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Results
Found 72 publication records. Showing 72 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 2 | Chulhee Lee, David A. Landgrebe |
Feature Extraction Based on Decision Boundaries.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1993 |
DBLP DOI BibTeX RDF |
decision boundaries, discriminantly redundant features, discriminantly informative features, classification, pattern recognition, feature extraction, feature extraction, decision theory, Bayes methods, Bayes methods |
| 2 | Saul B. Gelfand, C. S. Ravishankar, Edward J. Delp |
An Iterative Growing and Pruning Algorithm for Classification Tree Design.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1991 |
DBLP DOI BibTeX RDF |
pruning algorithm, classification tree design, right-sized trees, terminal nodes, waveform recognition problem, pattern recognition, pattern recognition, iterative method, iterative methods, trees (mathematics), Bayes methods, Bayes methods, estimation theory, estimation theory, stopping rules |
| 1 | Stefan Roth, Leonid Sigal, Michael J. Black |
Gibbs Likelihoods for Bayesian Tracking.  |
CVPR  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | David M. Fram, June S. Almenoff, William DuMouchel |
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety.  |
KDD  |
2003 |
DBLP DOI BibTeX RDF |
empirical Bayes methods, pharmacovigilance, post-marketing surveillance, data mining, association rules |
| 1 | William DuMouchel, Daryl Pregibon |
Empirical bayes screening for multi-item associations.  |
KDD  |
2001 |
DBLP DOI BibTeX RDF |
empirical Bayes methods, gamma-Poisson model, market basket problem, shrinkage estimation, Data Mining, Association rules, Knowledge Discovery, Statistical Models |
| 1 | José L. Marroquín, Fernando A. Velasco, Mariano Rivera, Miguel Nakamura |
Gauss-Markov Measure Field Models for Low-Level Vision.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2001 |
DBLP DOI BibTeX RDF |
image segmentation, simulated annealing, probability, Markov processes, image classification, Bayes methods, estimation theory, Gaussian distributions |
| 1 | Claire Nedellec, Mohamed Ould Abdel Vetah, Philippe Bessières |
Sentence Filtering for Information Extraction in Genomics, a Classification Problem.  |
PKDD  |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Houari A. Sahraoui, Mounir Boukadoum, Hakim Lounis, Frédéric Ethève |
Predicting class libraries interface evolution: an investigation into machine learning approaches.  |
APSEC  |
2000 |
DBLP DOI BibTeX RDF |
class library interface evolution prediction, object-oriented system evolution management, reusable class libraries, version compatibility, symptomatic instability detection, fuzzy logic-based approach, structural metrics, stability indicators, commercial C++ class libraries, top down induction of decision trees, machine learning, user interfaces, user interface, learning (artificial intelligence), fuzzy logic, object-oriented programming, decision trees, software quality, software metrics, software reusability, pattern classification, Bayes methods, software development management, software libraries, Bayesian classifiers, management of change |
| 1 | Khaled Harfoush, Azer Bestavros, John W. Byers |
Robust Identification of Shared Losses Using End-to-End Unicast Probes. (PDF / PS)  |
ICNP  |
2000 |
DBLP DOI BibTeX RDF |
robust identification, shared losses, end-to-end unicast probes, Internet transport protocols, end-to-end measurements correlation, per-connection state, shared network resources, aggregate congestion control, QoS admission control, connection scheduling, mirror site selection, conditional Bayesian probing, network conditions, memoryless Markovian probing, convergence, transport protocols, identification, accuracy, digital simulation, simulation results, Bayes methods, telecommunication congestion control, convergence of numerical methods |
| 1 | Zhong Su, HongJiang Zhang, Shaoping Ma |
Using Bayesian classifier in relevant feedback of image retrieval.  |
ICTAI  |
2000 |
DBLP DOI BibTeX RDF |
positive feedback examples, negative feedback examples, query space distribution, dibbling process, image penalization, retrieval refinement process, progressive learning capability, past feedback information, image retrieval, relevance feedback, relevance feedback, content-based image retrieval, image classification, content-based retrieval, Bayes methods, Bayesian classifier, query refinement |
| 1 | Nicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza |
On Bayes Methods for On-Line Boolean Prediction.  |
Algorithmica  |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Wan-Ching Chen, Peter Rockett |
Bayesian Labelling of Corners Using a Grey-Level Corner Image Model. (PDF / PS)  |
ICIP  |
1997 |
DBLP DOI BibTeX RDF |
Bayesian labelling, grey-level corner image model, MLP feedforward neural network, threshold-free corner detector, approximate Bayesian posterior probabilities, binary labels, pattern space sampling, classifier generalisation, low level feature extraction, robustness, backpropagation, Bayes methods, corner detection, statistical pattern recognition, real images, training data |
| 1 | Richard R. Schultz, Robert L. Stevenson |
Bayesian estimation of subpixel-resolution motion fields and high-resolution video stills. (PDF / PS)  |
ICIP  |
1997 |
DBLP DOI BibTeX RDF |
subpixel-resolution motion fields, high-resolution video stills, multiframe resolution enhancement methods, low-resolution image sequence frames, subpixel-resolution motion vectors, super-resolution enhancement algorithms, Bayesian motion estimation, discontinuity-preserving prior, Horn-Schunck optical flow estimation, simulations, Bayes methods, block matching, motion field |
| 1 | Nicolò Cesa-Bianchi, David P. Helmbold, Sandra Panizza |
On Bayes Methods for On-Line Boolean Prediction.  |
COLT  |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Stan Z. Li, Kap Luk Chan, Han Wang |
Bayesian image restoration and segmentation by constrained optimizatio.  |
CVPR  |
1996 |
DBLP DOI BibTeX RDF |
Bayesian image restoration, Lagrange-Hopfield method, Markov random field based Bayesian image estimation problems, augmented Lagrangian multiplier technique, neural-like analog implementation, image segmentation, image segmentation, optimisation, Markov processes, image restoration, constrained optimization, Bayes methods, Hopfield network, Hopfield neural nets |
| 1 | Baback Moghaddam, Chahab Nastar, Alex Pentland |
Bayesian face recognition using deformable intensity surfaces.  |
CVPR  |
1996 |
DBLP DOI BibTeX RDF |
deformable intensity surfaces, deformable 3D mesh, dense correspondence field, FERET database, facial data, face recognition, face recognition, image recognition, image recognition, image matching, image matching, Bayes methods, 2D image, 3D warp |
| 1 | Benjamin W. Wah, Arthur Ieumwananonthachai, Shu Yao, Ting Yu |
Statistical generalization: theory and applications. (PDF / PS)  |
ICCD  |
1995 |
DBLP DOI BibTeX RDF |
statistical generalization, multiple statistical distributions, probability of win, problem solving, maximum likelihood estimation, maximum likelihood estimate, Bayes methods, heuristic programming, interval analysis, heuristic methods, Bayesian analysis, blind equalization, branch-and-bound search |
| 1 | William T. Freeman, David H. Brainard |
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy. (PDF / PS)  |
ICCV  |
1995 |
DBLP DOI BibTeX RDF |
maximum local mass estimate, vision algorithms, perception problems, local probability density, local posterior probability structure, optimality criterion, most probable approximately correct answer, low observation noise, unknown illuminant, illuminant spectrum, surface spectra, photosensor responses, computer vision, probability, noise, decision theory, Bayes methods, estimation theory, color constancy, colour, Bayesian decision theory |
| 1 | Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez, Eric Fabre |
Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. (PDF / PS)  |
ICCV  |
1995 |
DBLP DOI BibTeX RDF |
hierarchical statistical models, multiresolution image data fusion, nonlinear hierarchical algorithms, nonlinear causal Markov models, hierarchical graph structures, bayesian estimation theory, simple hierarchical graphs, ternary graphs, single-resolution image segmentation, computational complexity, computational complexity, image processing, image segmentation, graph theory, Markov processes, sensor fusion, optimal algorithm, Bayes methods, quadtrees, bayesian estimates, random processes, estimation theory, Viterbi algorithm, low-level vision, image size |
| 1 | Mads Nielsen |
Surface Reconstruction: GNCs and MFA. (PDF / PS)  |
ICCV  |
1995 |
DBLP DOI BibTeX RDF |
GNCs, MFA, noise corrupted surfaces, quadratic data term, non convex functional minimisation, approximating functional, fully automatic methods, Gaussian convolution, Blake-Zisserman Graduated Non Convexity, graduated non convexity, image reconstruction, surface reconstruction, Bayes methods, convexity, minimum description length, Bayesian estimation, convex functionals, variational techniques, mean field annealing, variational approach |
| 1 | Song Chun Zhu, Tai Sing Lee, Alan L. Yuille |
Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. (PDF / PS)  |
ICCV  |
1995 |
DBLP DOI BibTeX RDF |
multiband image segmentation, variational principle, Bayes/MDL, boundary location, region competition algorithm, colour segmentation, optimize, image segmentation, edge detection, statistical analysis, Bayes methods, image texture, Minimum Description Length, color images, snakes, region growing, image colour analysis, texture segmentation, texture images, statistical approach, Bayes, statistical properties, region competition, grey level images |
| 1 | M. Aggarwal, Uday B. Desai |
Modelling and restoration of multilook correlated speckled images. (PDF / PS)  |
ICIP  |
1995 |
DBLP DOI BibTeX RDF |
multilook correlated speckled images, modelling, modelling, image restoration, Bayes methods, restoration, synthetic aperture radar, SAR imaging, correlation methods, radar imaging, radar images, Bayesian framework, speckle |
| 1 | A. Aydin Alatan, Levent Onural |
Object based 3-D motion and structure estimation. (PDF / PS)  |
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 |
| 1 | Anand S. Bedekar, Robert M. Haralick |
A Bayesian method for triangulation and its application to finding corresponding points. (PDF / PS)  |
ICIP  |
1995 |
DBLP DOI BibTeX RDF |
corresponding points, multiple perspective projection images, 3D points estimation, hypothesis verification problem, 3D point coordinates, triangulation problem, Bayesian estimation problem, observed image points, camera parameters, 3D point distance, misdetection rate, image processing, experiments, statistical analysis, maximum likelihood estimation, Bayes methods, statistical test, Bayesian method, MAP estimation, maximum a posteriori estimation, false alarm rate, projection images |
| 1 | Zhibin Lei, Daniel Keren, David B. Cooper |
Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants. (PDF / PS)  |
ICIP  |
1995 |
DBLP DOI BibTeX RDF |
computationally fast Bayesian recognition, complex objects recognition, 2D curve, 3D surface objects, Euclidean invariants, polynomial coefficients, Bayesian object recognition, robust recognition, mutual invariants recognizers, self invariants, object geometry, low computational cost, partially occluded articulated objects, joint geometry, self geometry, mutual algebraic invariants, database, computational geometry, object recognition, noise, polynomials, polynomial, vector, position, Bayes methods, patches, affine invariants |
| 1 | José M. N. Leitão, Mário A. T. Figueiredo |
Interferometric image reconstruction as a nonlinear Bayesian estimation problem. (PDF / PS)  |
ICIP  |
1995 |
DBLP DOI BibTeX RDF |
light interferometry, nonlinear Bayesian estimation problem, interferometric image reconstruction, 2D absolute phase estimation problem, phase image, Gauss Markov random field, iterated conditional modes algorithm, nonlinear stochastic absolute phase estimation, interferometric synthetic aperture radar, optical interferometry, diffraction tomography, noisy in-phase sine images, quadrature images, sine images, cosine images, image reconstruction, Markov processes, iterative methods, magnetic resonance imaging, Bayes methods, synthetic aperture radar, Gaussian processes, random processes, tomography, biomedical NMR, phase estimation |
| 1 | Stan Z. Li, Y. H. Huang, J. S. Fu |
Convex MRF potential functions. (PDF / PS)  |
ICIP  |
1995 |
DBLP DOI BibTeX RDF |
convex MRF potential functions, discontinuity preserving MRF restoration models, Bayesian image MRF models, computational properties, adaptive interaction functions, Markov processes, image restoration, regularization, functions, Bayes methods, ill-posed problems |
| 1 | Hassan Shekarforoush, Marc Berthod, Josiane Zerubia |
3D super-resolution using generalized sampling expansion. (PDF / PS)  |
ICIP  |
1995 |
DBLP DOI BibTeX RDF |
probabilistic interpretation, generalized sampling expansion, 3D superresolution algorithm, generalized sampling theorem, Lambertian surface, height map, high resolution information, Markov random fields, image reconstruction, image reconstruction, Markov processes, Bayes methods, image resolution, image resolution, random processes, image sampling, Bayesian framework, low resolution images |
| 1 | Chi-hsin Wu, Peter C. Doerschuk |
Application of the cluster approximation for the simultaneous restoration and segmentation of tomographic images. (PDF / PS)  |
ICIP  |
1995 |
DBLP DOI BibTeX RDF |
cluster approximation, Bayesian restoration algorithm, Bayesian segmentation algorithm, pixel-line Markov random field, interactions locality, medical tomography, image segmentation, image segmentation, approximation, edge detection, Markov processes, image restoration, image restoration, medical image processing, Bayes methods, random processes, approximation theory, computerised tomography, tomographic images |
| 1 | Evan Tick, Bruce D'Ambrosio |
Evaluating Bayes nets with concurrent process networks. (PDF / PS)  |
IPPS  |
1995 |
DBLP DOI BibTeX RDF |
Bayes nets, concurrent process networks, total probability mass, leaf node, general Bayes network, ancestor nodes, high mass minterms, partial minterms, child nodes, KL1, parallel algorithms, computational complexity, computation complexity, probability, message passing, directed graphs, directed acyclic graphs, search problems, Bayes methods, conditional probabilities, concurrent algorithm |
| 1 | Ljubomir J. Buturovic |
Toward Bayes-Optimal Linear Dimension Reduction.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
Bayes optimal linear dimension reduction, multidimensional vectors, low dimensional space, Bayes error estimation, pattern recognition, probability, optimisation, optimisation, statistical analysis, Bayes methods, estimation theory, statistical pattern recognition, k-nearest neighbour, probability density |
| 1 | Fernand S. Cohen, Jin-Yinn Wang |
Part II: 3-D Object Recognition and Shape Estimation from Image Contours Using B-splines, Shape Invariant Matching, and Neural Network.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
shape invariant matching, image curves, curve modeling, binocular stereo imaging system, unwarped parent curves, neural network, training, image sequences, matching, image recognition, neural nets, B-splines, Bayes methods, stereo image processing, Fourier descriptors, splines (mathematics), shape estimation, Bayesian framework, image contours, 3-D object recognition |
| 1 | Fernand S. Cohen, Jin-Yinn Wang |
Part I: Modeling Image Curves Using Invariant 3-D Object Curve Models/spl minus/a Path to 3-D Recognition and Shape Estimation from Image Contours.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
image curves, invariant 3-D object curve models, 3-D recognition, binocular stereo imaging system, minimum mean-square error estimation technique, Bayesian selection rule, prototype curves, sample curve, image recognition, B-splines, Bayes methods, stereo image processing, affine transformation, splines (mathematics), matching algorithm, shape estimation, control points, image contours |
| 1 | Alison J. Gray, Jim Kay, D. M. Titterington |
An Empirical Study of the Simulation of Various Models used for Images.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
Bayesian image restoration methods, moderate-to-large scale clustering, Markov mesh models, strong directional effects, parameter estimation, Markov random fields, image reconstruction, Markov processes, Bayes methods, iterative algorithms |
| 1 | W. A. Hashlamoun, Pramod K. Varshney, V. N. S. Samarasooriya |
A Tight Upper Bound on the Bayesian Probability of Error.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
tight upper bound, Bayesian probability, minimum error probability, pattern recognition, probability, decision theory, Bayes methods, statistical pattern recognition |
| 1 | Rafael Molina |
On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
hierarchical Bayesian approach, astronomical images, local characteristics, hyperprior, hyperparameters estimation, noise, image restoration, image restoration, maximum likelihood estimation, Bayes methods, image models, astronomy |
| 1 | Hossam Osman, Moustafa M. Fahmy |
On the Discriminatory Power of Adaptive Feed-Forward Layered Networks.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
discriminatory power, adaptive feedforward layered networks, linear-output networks, mean-square classifiers, mean-square error minimisation, familiar discriminant criterion, final hidden layer, feature extraction criterion, target coding scheme, pattern recognition, feature extraction, pattern classification, Bayes methods, discriminant analysis, feedforward neural nets |
| 1 | Geir Storvik |
A Bayesian Approach to Dynamic Contours Through Stochastic Sampling and Simulated Annealing.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
dynamic contours, simply connected objects, minimizing energy curves, global minimum energy configuration, simulated annealing, simulated annealing, image analysis, iterative methods, magnetic resonance images, Bayes methods, brain, iterative algorithms, numerical algorithms, active contour models, biomedical NMR, ultrasound images, noisy images, cardiology, Bayesian approach, local minima, left ventricle, image contours, uncertainty measures, curve detection, biomedical ultrasonics, stochastic sampling, human brain, posterior distribution |
| 1 | Mark Chao Kuen Yang, Jong-Sen Lee |
Object Identification From Multiple Images Based on Point Matching Under a General Transformation.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1994 |
DBLP DOI BibTeX RDF |
ship identification, ISAR image sequence, noise levels, statistical theory, statistical analysis, image recognition, image recognition, remote sensing, Bayes methods, multiple images, point matching |
| 1 | Chao-Ju Hou, Kang G. Shin |
Incorporation of Optimal Timeouts into Distributed Real-Time Load Sharing.  |
IEEE Trans. Computers  |
1994 |
DBLP DOI BibTeX RDF |
optimal timeouts, distributed real-time load sharing, timeout mechanism, state-region change broadcasts, communication timeouts, system load, task attributes, hypothesis testing problem, Bayesian technique, region-change broadcasts, broadcast information, task transfer, broadcast message, state-region changes, broadcast interval, scheduling, real-time systems, parallel algorithms, resource allocation, fault tolerant computing, software reliability, multiprocessing systems, Bayes methods, distributed real-time system, node failures |
| 1 | Tein-Hsiang Lin, Kang G. Shin |
An Optimal Retry Policy Based on Fault Classification.  |
IEEE Trans. Computers  |
1994 |
DBLP DOI BibTeX RDF |
optimal retry policy, fault characteristics, mission lifetime, system status, Bayesian decision problem, prior distributions, fault-related parameter updating, temporal fault type, fault parameter estimation, optimal retry period, mean task completion time minimization, fault tolerant computing, parameter estimation, fault detection, error detection, decision theory, system recovery, Bayes methods, minimisation, error recovery, transient faults, failure analysis, intermittent faults, permanent faults, fault classification |
| 1 | Kang G. Shin, Hagbae Kim |
A Time Redundancy Approach to TMR Failures Using Fault-State Likelihoods.  |
IEEE Trans. Computers  |
1994 |
DBLP DOI BibTeX RDF |
time redundancy approach, TMR failures, fault-state likelihoods, processing modules, disagreement detector, system reconfiguration, adaptive recovery method, fault tolerant computing, redundancy, digital simulation, simulation results, Bayes methods, voters, triple modular redundant system, Bayes theorem |
| 1 | Michael Pittarelli |
An Algebra for Probabilistic Databases.  |
IEEE Trans. Knowl. Data Eng.  |
1994 |
DBLP DOI BibTeX RDF |
probabilistic data model, probabilistic algebra, /spl alpha/-acyclic database schemes, homomorphic image, statistical smoothing procedure, Bayes networks, data structures, probability, decision support systems, database management systems, Markov processes, decision support, database theory, relational algebra, relational algebra, algebra, Bayes methods, probabilistic databases, uncertainty handling, Markov networks, uncertain information |
| 1 | Kang G. Shin, Chao-Ju Hou |
Design and Evaluation of Effective Load Sharing in Distributed Real-Time Systems.  |
IEEE Trans. Parallel Distrib. Syst.  |
1994 |
DBLP DOI BibTeX RDF |
minimum-laxity first-served policy, loss-minimizing decisions, buddy set, Bayesian decision analysis, simulation, performance evaluation, real-time systems, resource allocation, delays, multiprocessing systems, decision theory, Bayes methods, distributed real-time systems, probability distributions, load sharing |
| 1 | Sylvia Campodónico, Nozer D. Singpurwalla |
A Bayesian Analysis of the Logarithmic-Poisson Execution Time Model Based on Expert Opinion and Failure Data.  |
IEEE Trans. Software Eng.  |
1994 |
DBLP DOI BibTeX RDF |
logarithmic-Poisson execution time model, failure data, empirical experiences, joint distribution, software testing, software quality, software reliability, program testing, maximum likelihood estimation, Bayes methods, personal computer, Bayesian analysis, software reliability models, software failures, expert knowledge, likelihood function, nonhomogeneous Poisson process, NHPP, failure prediction, software reliability assessment, expert opinion |
| 1 | Robert G. Cowell, A. Philip Dawid, David J. Spiegelhalter |
Sequential Model Criticism in Probabilistic Expert Systems.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1993 |
DBLP DOI BibTeX RDF |
sequential model criticism, probabilistic expert systems, qualitative graphical structure, quantitative conditional probability assessments, Bayesian networks, expert systems, Bayes methods, probabilistic logic, scoring rules |
| 1 | Paul Dagum, R. Martin Chavez |
Approximating Probabilistic Inference in Bayesian Belief Networks.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1993 |
DBLP DOI BibTeX RDF |
probabilistic inference approximation, stochastic simulation algorithm, D-BNRAS, reasoning, polynomial, polynomials, inference mechanisms, Bayes methods, Bayesian belief networks, uncertainty handling, conditional probabilities, probabilistic logic, belief maintenance |
| 1 | Kenneth W. Fertig, John S. Breese |
Probability Intervals Over Influence Diagrams.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1993 |
DBLP DOI BibTeX RDF |
Bayesian conditioning, point-valued probabilistic inference mechanisms, computational complexity, lower bounds, probability, sensitivity analysis, sensitivity analysis, inference mechanisms, Bayes methods, probability distributions, probabilistic reasoning, uncertainty handling, influence diagrams, probabilistic queries, conditional expectation |
| 1 | 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 |
| 1 | Wei Qian, D. M. Titterington |
Bayesian Image Restoration: An Application to Edge-Preserving Surface Recovery.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1993 |
DBLP DOI BibTeX RDF |
Bayesian image restoration, 2D surface recovery, parametric methods, edge-preserving surface recovery, image processing, parameter estimation, parameter estimation, Markov random field, image reconstruction, Markov processes, iterative methods, Bayes methods, image texture, textural image, nonparametric methods |
| 1 | Sudeep Sarkar, Kim L. Boyer |
Integration, Inference, and Management of Spatial Information Using Bayesian Networks: Perceptual Organization.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1993 |
DBLP DOI BibTeX RDF |
top-down visual processes, spatial inference, bottom-up visual processes, perceptual inference network, computer vision, computer vision, Bayesian networks, knowledge based systems, probability, image recognition, image recognition, knowledge base, spatial reasoning, Bayes methods, perceptual organization |
| 1 | Kang G. Shin, Chao-Ju Hou |
Analytic Models of Adaptive Load Sharing Schemes in Distributed Real-Time Systems.  |
IEEE Trans. Parallel Distrib. Syst.  |
1993 |
DBLP DOI BibTeX RDF |
decentralised load sharing, continuous time semiMarkov process, adaptive load sharing schemes, nonuniform task arrivals, dynamic load sharing, random selection, cumulative execution time, commonly-used queue length, Bayesian decision mechanism, probability ofdynamic failure, simulation, real-time systems, distributed processing, queueing theory, analytic models, decision theory, Bayes methods, distributed real-time systems, queuing models, performanceevaluation |
| 1 | Keigo Watanabe, Spyros G. Tzafestas |
Generalized pseudo-Bayes estimation and detection for abruptly changing systems.  |
Journal of Intelligent and Robotic Systems  |
1993 |
DBLP DOI BibTeX RDF |
Markov processes, Kalman filters, Bayes methods, nonlinear filtering, failure detection, stochastic systems |
| 1 | John B. Hampshire II, Alex Waibel |
The Meta-Pi Network: Building Distributed Knowledge Representations for Robust Multisource Pattern Recognition.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1992 |
DBLP DOI BibTeX RDF |
Meta-Pi network, distributed knowledge representations, multisource pattern recognition, multinetwork connectionist classifier, adaptive Bayesian maximum a posteriori classifier, multispeaker phoneme recognition, speaker-dependent time-delay neural network, knowledge representation, speech recognition, speech recognition, statistical analysis, neural nets, Bayes methods |
| 1 | Janusz Konrad, Eric Dubois 0002 |
Bayesian Estimation of Motion Vector Fields.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1992 |
DBLP DOI BibTeX RDF |
minimum expected cost estimation, 2D motion vector fields, time-varying images, deterministic structural model, vector Markov random fields, piecewise smooth model, maximum a posteriori probability, stochastic relaxation, picture processing, picture processing, probability, Markov processes, Bayes methods, Bayesian estimation, estimation theory, state space, Gibbs sampler, state-space methods |
| 1 | Xinhua Zhuang, Tao Wang, Peng Zhang |
A Highly Robust Estimator Through Partially Likelihood Function Modeling and Its Application in Computer Vision.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1992 |
DBLP DOI BibTeX RDF |
model fitting estimator, partially likelihood function modeling, unknown log likelihood function, Bayesian statistical decision rule, single rigid motion estimation, multiple rigid motion segmentation, contaminated Gaussian mixture models, pattern recognition, pattern recognition, computer vision, computer vision, picture processing, picture processing, decision theory, Bayes methods, estimation theory |
| 1 | Keith W. Miller, Larry J. Morell, Robert E. Noonan, Stephen K. Park, David M. Nicol, Branson W. Murrill, Jeffrey M. Voas |
Estimating the Probability of Failure When Testing Reveals No Failures.  |
IEEE Trans. Software Eng.  |
1992 |
DBLP DOI BibTeX RDF |
failure probability estimation, random testing results, input distribution, prior assumptions, failure estimate, discrete sample space statistical model, Bayesian prior assumptions, life-critical applications, probability, program testing, Bayes methods, formulas |
| 1 | Fernand S. Cohen, Zhigang Fan, Maqbool Patel |
Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1991 |
DBLP DOI BibTeX RDF |
rotated textured images, scaled textured images, Gaussian Markov random field models, parent texture classes, training texture images, white nonstationary Gaussian random field, Cramer-Rao error bounds, modified Bayes decision rule, classification power, Brodatz album, pattern recognition, pattern recognition, parameter estimation, parameter estimation, discrete Fourier transform, decision theory, Bayes methods, random processes, power spectral density, likelihood function |
| 1 | Christian Doncarli, Eric Le Carpentier |
An Optimal Approach for Random Signals Classification.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1991 |
DBLP DOI BibTeX RDF |
ARMA signals, optimal approach, random signals classification, Bayes classification, finite-length data sequences, cepstral distance, Kullback divergence, pattern recognition, signal processing, decision theory, Bayes methods, decision rules |
| 1 | Valen E. Johnson, Wing Hung Wong, Xiaoping Hu, 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 |
| 1 | David G. Lowe, Andrew Webb |
Optimized Feature Extraction and the Bayes Decision in Feed-Forward Classifier Networks.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1991 |
DBLP DOI BibTeX RDF |
Bayes decision, feed-forward classifier networks, multiclass pattern classification, adaptive layered networks, least-square approach, target coding, error weighting, pattern recognition, pattern recognition, feature extraction, optimisation, encoding, adaptive systems, decision theory, Bayes methods, nonlinear optimization |
| 1 | Xiao-Jia M. Zhou, Tharam S. Dillon |
A Statistical-Heuristic Feature Selection Criterion for Decision Tree Induction.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1991 |
DBLP DOI BibTeX RDF |
statistical-heuristic feature selection criterion, multibranching decision trees, built-in statistical test, proportional-reduction-in-error, cost-of-complexity heuristic, middle-cut preference, tau criterion, prepruning, dynamic error estimation, pattern recognition, pattern recognition, robustness, statistics, trees (mathematics), decision theory, Bayes methods, Bayesian classifier, decision tree induction |
| 1 | Bertrand S. Clarke, Andrew R. Barron |
Information-theoretic asymptotics of Bayes methods.  |
IEEE Transactions on Information Theory  |
1990 |
DBLP DOI BibTeX RDF |
|
| 1 | G. Becker, L. Camarinopoulos |
A Bayesian Estimation Method for the Failure Rate a Possibly Correct Program.  |
IEEE Trans. Software Eng.  |
1990 |
DBLP DOI BibTeX RDF |
prior step, Bayesian estimation method, possibly correct program, Bayes law, posterior, last step, probability, software reliability, estimator, upper bound, Bayes methods, software reliability modeling, failure rate, failure probability, conjugate priors |
| 1 | Zane W. Bell |
A Bayesian/Monte Carlo Segmentation Method for Images Dominated by Gaussian Noise.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1989 |
DBLP DOI BibTeX RDF |
S/N ratio, background clutter, radiography, pattern recognition, pattern recognition, image segmentation, picture processing, picture processing, Monte Carlo method, Monte Carlo methods, Bayes method, Bayes methods, Gaussian noise, digital radiography |
| 1 | Yoram Bresler, Jeffrey A. Fessler, Albert Macovski |
A Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1989 |
DBLP DOI BibTeX RDF |
incomplete projections, line integral projections, stochastic dynamic models, statistical measurement model, single-valued function, pattern recognition, pattern recognition, picture processing, picture processing, probability, probability, optimisation, global optimality, stochastic processes, object models, Bayes methods, 3D object reconstruction |
| 1 | Bruno Cernuschi-Frías, David B. Cooper, Yi-Ping Hung, Peter N. Belhumeur |
Toward a Model-Based Bayesian Theory for Estimating and Recognizing Parameterized 3-D Objects Using Two or More Images Taken from Different Positions.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1989 |
DBLP DOI BibTeX RDF |
3D object surface recognition, pattern recognition, pattern recognition, picturing processing, picture processing, parameter estimation, parameter estimation, statistical analysis, maximum likelihood estimation, Bayes methods, parametric modeling, statistical estimation, Bayesian theory |
| 1 | Keinosuke Fukunaga, Donald M. Hummels |
Leave-One-Out Procedures for Nonparametric Error Estimates.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1989 |
DBLP DOI BibTeX RDF |
leave one out procedures, nonparametric error estimates, Parzen estimates, error analysis, nearest neighbor, Bayes methods, estimation theory, covariances |
| 1 | S. K. Michael Wong, F. C. S. Poon |
Comments on Approximating Discrete Probability Distributions with Dependence Trees.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1989 |
DBLP DOI BibTeX RDF |
discrete probability distributions, product approximation, tree dependence approximation, classification, pattern recognition, pattern recognition, probability, trees (mathematics), minimization, Bayes methods, minimisation, probability distribution, approximation theory, error statistics, Bayes error rate |
| 1 | F. D. Garber, Abdelhamid Djouadi |
Bounds on the Bayes Classification Error Based on Pairwise Risk Functions.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1988 |
DBLP DOI BibTeX RDF |
Bayes classification error, pairwise risk functions, composite-hypothesis classification, pairwise Bayes risk, pattern recognition, pattern recognition, lower bounds, upper bounds, decision theory, Bayes methods, error statistics |
| 1 | Robert A. Hummel, Michael S. Landy |
A Statistical Viewpoint on the Theory of Evidence.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1988 |
DBLP DOI BibTeX RDF |
Bayesian rules, combination formulas, artificial intelligence, artificial intelligence, expert systems, expert systems, statistical analysis, statistics, Bayes methods, Dempster-Shafer theory, evidence theory |
| 1 | Judith F. Silverman, David B. Cooper |
Bayesian Clustering for Unsupervised Estimation of Surface and Texture Models.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
1988 |
DBLP DOI BibTeX RDF |
unsupervised parameter estimation, Bayesian clustering, maximum-likelihood clustering, polynomial models, segmentation, Markov processes, computerised picture processing, computerised picture processing, computerised pattern recognition, computerised pattern recognition, polynomials, Bayes methods, surface models, texture models, depth map, agglomerative clustering, Gaussian-Markov random field |
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