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ICIP
2008
IEEE
15 years 7 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
ICIP
2005
IEEE
16 years 2 months ago
Tracking multiple cells by correspondence resolution in a sequential Bayesian framework
We propose a multi-target tracking (MTT) algorithm in a sequential Bayesian framework that computes cell velocities from video microscopy. Unlike the traditional tracking methods,...
Nilanjan Ray, Gang Dong, Scott T. Acton
120
Voted
AAAI
2008
15 years 3 months ago
Exploiting Causal Independence Using Weighted Model Counting
Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...
Wei Li 0002, Pascal Poupart, Peter van Beek
IICAI
2003
15 years 2 months ago
The Acyclic Bayesian Net Generator
Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
Pankaj B. Gupta, Vicki H. Allan
77
Voted
FOCS
2008
IEEE
15 years 7 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. â€...
Michael Ben-Or, Avinatan Hassidim