Zobrazeno 1 - 10
of 16
pro vyhledávání: '"WILSON, SIMON PAUL"'
A method for conducting Bayesian elicitation and learning in risk assessment is presented. It assumes that the risk process can be described as a fault tree. This is viewed as a belief network, for which prior distributions on primary event probabili
Externí odkaz:
http://arxiv.org/abs/1904.03012
PUBLISHED
Seoul, Korea
This paper considers the use of a recently developed Bayesian statistical approximation technique that leads to very fast determination of highly accurate estimates for latent radio signal power. Following suitable da
Seoul, Korea
This paper considers the use of a recently developed Bayesian statistical approximation technique that leads to very fast determination of highly accurate estimates for latent radio signal power. Following suitable da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::15251ee39a4de640fa7808b8f5febb43
https://www.cs.tcd.ie/Brett.Houlding/Index/Publications_&_Presentations_files/spaswin09_talk.pdf
https://www.cs.tcd.ie/Brett.Houlding/Index/Publications_&_Presentations_files/spaswin09_talk.pdf
Autor:
WILSON, SIMON PAUL
PUBLISHED
We address the problem of source separation in the presence of prior information. We develop a fully Bayesian source separation technique that assumes a very flexible model for the sources, namely the Gaussian mixture model with an unk
We address the problem of source separation in the presence of prior information. We develop a fully Bayesian source separation technique that assumes a very flexible model for the sources, namely the Gaussian mixture model with an unk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::8c3cc46434edc398771f9dce012a1f57
http://hdl.handle.net/2262/32966
http://hdl.handle.net/2262/32966
Autor:
WILSON, SIMON PAUL
PUBLISHED
We describe estimation of the parameters of a manufacturing test and repair model using data available from that test. The model allows imperfect testing and imperfect repair. The principal problem that we address is of parameter ident
We describe estimation of the parameters of a manufacturing test and repair model using data available from that test. The model allows imperfect testing and imperfect repair. The principal problem that we address is of parameter ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::6e6089f376996af6680335a96db20fa7
http://hdl.handle.net/2262/32968
http://hdl.handle.net/2262/32968
Autor:
WILSON, SIMON PAUL
PUBLISHED
In the literature on statistical inference in software reliability, the assumptions of parametric models and random sampling of bugs have been pervasive. We argue that both assumptions are problematic, the first because of robustness c
In the literature on statistical inference in software reliability, the assumptions of parametric models and random sampling of bugs have been pervasive. We argue that both assumptions are problematic, the first because of robustness c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::6fdcd8ba3b33a61b6ceffe5666b98c58
http://hdl.handle.net/2262/32967
http://hdl.handle.net/2262/32967
Autor:
WILSON, SIMON PAUL
PRESENTED
In this paper we look at a simple image retrieval with relevance feedback scenario where we model simple properties of the search process. A content-based image retrieval method based on Bayesian inference is proposed that infers these
In this paper we look at a simple image retrieval with relevance feedback scenario where we model simple properties of the search process. A content-based image retrieval method based on Bayesian inference is proposed that infers these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::2b1d3d8ad038594a4d05eb51ae80cf43
http://hdl.handle.net/2262/32986
http://hdl.handle.net/2262/32986
Autor:
WILSON, SIMON PAUL
PUBLISHED
The identification of landmark points of a figure in an image plays an important role in many statistical shape analysis techniques. In certain contexts, manual landmark detection is an impractical task and an automated procedure has t
The identification of landmark points of a figure in an image plays an important role in many statistical shape analysis techniques. In certain contexts, manual landmark detection is an impractical task and an automated procedure has t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::8400a65fcc453e693af24afb5c5db662
http://hdl.handle.net/2262/32987
http://hdl.handle.net/2262/32987
Autor:
GREGG, DAVID, WILSON, SIMON PAUL
PUBLISHED
Image Segmentation is a process used in Computer Vision to automatically divide up an image. We investigate the suitability of FPGAs and Log Arithmetic for Image Processing. We implemented a Bayesian pixel-based segmentation algorithm
Image Segmentation is a process used in Computer Vision to automatically divide up an image. We investigate the suitability of FPGAs and Log Arithmetic for Image Processing. We implemented a Bayesian pixel-based segmentation algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::9f0349be0ae630032847352363b84634
http://hdl.handle.net/2262/32974
http://hdl.handle.net/2262/32974