Bayesian framework

An Experimental Comparison of a Hierarchical Range Image Segmentation Algorithm

Computational Geometry / Approximation Algorithms / Image Analysis / Clustering Algorithms / Image segmentation / Region growing / Segmentation / Bayesian methods / Perforation / Range Image / Range Image Segmentation / Polynomials / Gradient Flow / Solid Modeling / Bayesian framework / Gradient vector flow / Gradient methods / Region growing / Segmentation / Bayesian methods / Perforation / Range Image / Range Image Segmentation / Polynomials / Gradient Flow / Solid Modeling / Bayesian framework / Gradient vector flow / Gradient methods

Rapid object recognition from a large model database

Computer Vision / Decision Theory / Power Generation / Feature Detection / Object Recognition / Bayesian methods / Indexing / Image recognition / Domain Specificity / Indexation / Object Detection / Knowledge Compilation / Bayesian framework / Bayesian methods / Indexing / Image recognition / Domain Specificity / Indexation / Object Detection / Knowledge Compilation / Bayesian framework

Bayesian Identification of a Population Compartmental Model of C-Peptide Kinetics

Engineering / Biomedical Engineering / System Identification / Kinetics / Insulin Secretion / Markov Chain Monte Carlo / Cost effectiveness / Population Model / Kinetic Parameter / Reference Value / Bayes estimator / Bayesian framework / Markov Chain Monte Carlo / Cost effectiveness / Population Model / Kinetic Parameter / Reference Value / Bayes estimator / Bayesian framework

High-resolution images from low-resolution compressed video

Mechanical Engineering / Super resolution / Image Sequence / Electrical And Electronic Engineering / Low Resolution / Bayesian framework

A Bayesian Recognitional Decision Model

Psychology / Cognitive Science / Decision Making / Recognition memory / Computer Model / Decision Models / Recognition-primed Decision / Bayesian framework / Decision Process / Decision Models / Recognition-primed Decision / Bayesian framework / Decision Process

Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model

Engineering / Signal Processing / Markov Processes / Monte Carlo Methods / Parameter estimation / hidden Markov model / First-Order Logic / Interpolation / Mathematical Model / Markov chain monte carlo methods / Markov Process / Biological System Modeling / Time varying / Bayesian framework / hidden Markov model / First-Order Logic / Interpolation / Mathematical Model / Markov chain monte carlo methods / Markov Process / Biological System Modeling / Time varying / Bayesian framework

Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model

Engineering / Signal Processing / Markov Processes / Monte Carlo Methods / Parameter estimation / hidden Markov model / First-Order Logic / Interpolation / Mathematical Model / Markov chain monte carlo methods / Markov Process / Biological System Modeling / Time varying / Bayesian framework / hidden Markov model / First-Order Logic / Interpolation / Mathematical Model / Markov chain monte carlo methods / Markov Process / Biological System Modeling / Time varying / Bayesian framework

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