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NC
1998
102views Neural Networks» more  NC 1998»
13 years 6 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
WACV
2005
IEEE
13 years 10 months ago
Gait Verification Using Probabilistic Methods
In this paper we describe a novel method for gait based identity verification based on Bayesian classification. The verification task is reduced to a two class problem (Client or ...
Alex I. Bazin, Mark S. Nixon
WCET
2008
13 years 6 months ago
INFER: Interactive Timing Profiles based on Bayesian Networks
We propose an approach for timing analysis of software-based embedded computer systems that builds on the established probabilistic framework of Bayesian networks. We envision an ...
Michael Zolda
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
13 years 9 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
ICPR
2000
IEEE
14 years 6 months ago
Invariant Image Object Recognition Using Mixture Densities
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Mar...