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ICIP
2007
IEEE
14 years 9 months ago
The Hough Transform's Implicit Bayesian Foundation
This paper shows that the basic Hough transform is implicitly a Bayesian process--that it computes an unnormalized posterior distribution over the parameters of a single shape giv...
Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D...
ICIP
2006
IEEE
14 years 9 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
EMMCVPR
1999
Springer
13 years 12 months ago
Bayesian Models for Finding and Grouping Junctions
In this paper, we propose two Bayesian methods for detecting and grouping junctions. Our junction detection method evolves from the Kona approach, and it is based on a competitive ...
Miguel Cazorla, Francisco Escolano, Domingo Gallar...
ECIR
2009
Springer
14 years 4 months ago
Bayesian Mixture Hierarchies for Automatic Image Annotation
Previous research on automatic image annotation has shown that accurate estimates of the class conditional densities in generative models have a positive effect in annotation perf...
Vassilios Stathopoulos, Joemon M. Jose
ICIP
2007
IEEE
13 years 9 months ago
Bayesian Example Based Segmentation using a Hybrid Energy Model
This paper describes a supervised segmentation algorithm which draws inspiration from recent advances in non-parametric texture synthesis. A set of example images which have been ...
Claire Gallagher, Anil C. Kokaram