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» A Cognitive Model for Visual Attention and Its Application
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AGI
2011
13 years 7 days ago
The LIDA Framework as a General Tool for AGI
Intelligent software agents aiming for general intelligence are likely to be exceedingly complex systems and, as such, will be difficult to implement and to customize. Frameworks h...
Javier Snaider, Ryan James McCall, Stan Franklin
IJCNN
2007
IEEE
14 years 2 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
NECO
2007
129views more  NECO 2007»
13 years 8 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
DIAGRAMS
2004
Springer
14 years 2 months ago
Predictors of Success in Diagrammatic Problem Solving
Abstract. We conducted an eye-tracking study of mechanical problem solving from cross-sectional diagrams of devices. Response time, accuracy and eye movement data were collected an...
Daesub Yoon, N. Hari Narayanan
DASIP
2010
13 years 3 months ago
GPU implementation of motion estimation for visual saliency
Visual attention is a complex concept that includes many processes to find the region of concentration in a visual scene. In this paper, we discuss a spatio-temporal visual salien...
Anis Rahman, Dominique Houzet, Denis Pellerin, Lio...