National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Interactive Example-based Stylization of Architectural Models
Hauptfleisch, Filip ; Sýkora, Daniel (advisor) ; Pelikán, Josef (referee)
One of the ways in which architects communicate their designs is through hand-made architectural sketches. Often it would be beneficial to have a sketch drawn from several angles, but producing many sketches is time- consuming for the architect. Another interesting visualization tool could be an interactive smooth rotation around a stylized scene, which would be impossible to do by hand. Style transfer is an area from non-photorealistic rendering. It tries to solve the problem of transferring a style from an image to another one. This work introduces the current state of style transfer and compares several methods of transferring an architectural sketch style from one view of a 3D scene to another view of the same scene. The StyLit algorithm is then expanded to run the style transfer for multiple viewpoints at the same time while maintaining spatially coherent results. Finally, a method to run an interactive smooth movement around the stylized scene is introduced. 1
Mixed Poisson models for claim counts
Hauptfleisch, Filip ; Pešta, Michal (advisor) ; Hendrych, Radek (referee)
The thesis summarizes the theory of mixed Poisson models. Poisson distri- bution is one of the popular distributions in modelling count data, but its use is limited because it requires equidispersion. Because of this we introduce both con- tinuous and finite mixtures. From continuous mixtures the main representative is the negative binomial model, which arises as Poisson Gamma mixture, while from discrete models we deal mainly with zero-inflated models and hurdle models. For these models we use the maximum likelihood estimates of their parameters. In the end we apply these models to fit automobile insurance data from Australia, where we use MLE to fit Poisson regression, negative binomial regression and Poisson hurdle regression.

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