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AAAI
2012
7 years 6 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
ICPR
2008
IEEE
10 years 5 months ago
Nonparametric Bayesian attentive video analysis
We address the problem of object-based visual attention from a Bayesian standpoint. We contend with the issue of joint segmentation and saliency computation suitable to provide a ...
Giuseppe Boccignone
NIPS
2004
9 years 5 months ago
Inference, Attention, and Decision in a Bayesian Neural Architecture
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
Angela J. Yu, Peter Dayan
UAI
1996
9 years 5 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
9 years 10 months ago
A Decision-Making Framework for Control Strategies in Probabilistic Search
Abstract— This paper presents the search problem formulated as a decision problem, where the searcher decides whether the target is present in the search region, and if so, where...
Timothy H. Chung, Joel W. Burdick
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