A Bayesian Inference Framework for Procedural Material Parameter Estimation
نویسندگان
چکیده
منابع مشابه
A Bayesian Framework for Parameter Estimation in Dynamical Models
Mathematical models in biology are powerful tools for the study and exploration of complex dynamics. Nevertheless, bringing theoretical results to an agreement with experimental observations involves acknowledging a great deal of uncertainty intrinsic to our theoretical representation of a real system. Proper handling of such uncertainties is key to the successful usage of models to predict exp...
متن کاملEstimation with Bayesian Inference
A probabilistic technique for the joint estimation of background and sources in high-energy astrophysics is described. Bayesian inference is applied to gain insight into the coexistence of background and sources through a probabilistic two-component mixture model, which provides consistent uncertainties of background and sources. The present analysis is applied on ROSAT PSPC data in Survey Mode...
متن کاملA Bayesian framework for 3D surface estimation
We develop an evidence-combining framework for extracting locally consistent di!erential structure from curved surfaces. Existing approaches are restricted by their sequential multi-stage philosophy, since important information concerning the salient features of surfaces may be discarded as necessarily condensed information is passed from stage to stage. Furthermore, since data representations ...
متن کاملUnsupervised Bayesian Parameter Estimation for Dependency Parsing
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilitsic context-free grammars. Our model extends the correlated topic model framework to probabilistic grammars, exploiting the logistic normal prior as a prior over the grammar parameters. We derive a variational EM algorithm for that model...
متن کاملBayesian Parameter Estimation: A Monte Carlo Approach
This paper presents a Bayesian approach, using parallel Monte Carlo modelling algorithms for combining expert judgements when there is inherent variability amongst these judgements. The proposed model accounts for the situation when the derivative method for finding the maximum likelihood breaks down Introduction An expert is deemed to mean a person with specialised knowledge about a given subj...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Graphics Forum
سال: 2020
ISSN: 0167-7055,1467-8659
DOI: 10.1111/cgf.14142