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ICPR
2010
IEEE
15 years 8 months ago
Learning Probabilistic Models of Contours
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
Laure Amate, Maria João Rendas
NIPS
1997
15 years 7 months ago
A Non-Parametric Multi-Scale Statistical Model for Natural Images
The observed distribution of natural images is far from uniform. On the contrary, real images have complex and important structure that can be exploited for image processing, reco...
Jeremy S. De Bonet, Paul A. Viola
BIOSYSTEMS
2007
91views more  BIOSYSTEMS 2007»
15 years 6 months ago
A neural model of feature attention in motion perception
We utilize a model of motion perception to link a physiological study of feature attention in cortical motion processing to a psychophysical experiment of motion perception. We ex...
Pierre Bayerl, Heiko Neumann
CSDA
2007
202views more  CSDA 2007»
15 years 6 months ago
Bayesian estimation of the Gaussian mixture GARCH model
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions. This GARCH model...
María Concepción Ausín, Pedro...
JCP
2007
150views more  JCP 2007»
15 years 6 months ago
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability
Abstract— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of rel...
Christophe Simon, Philippe Weber, Eric Levrat