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ICCV
2009
IEEE
16 years 4 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
KBSE
2005
IEEE
15 years 5 months ago
Learning to verify branching time properties
We present a new model checking algorithm for verifying computation tree logic (CTL) properties. Our technique is based on using language inference to learn the fixpoints necessar...
Abhay Vardhan, Mahesh Viswanathan
PRL
2008
118views more  PRL 2008»
14 years 10 months ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
DIAGRAMS
2004
Springer
15 years 4 months ago
Bayesian Boxes: A Colored Calculator for Picturing Posteriors
The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
Kevin Burns
ICIP
2008
IEEE
15 years 5 months ago
A Bayesian approach to predicting the perceived interest of objects
This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...
Srivani Pinneli, Damon M. Chandler