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ICANN
2010
Springer
15 years 8 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 8 months ago
Aiming for a theoretically tractable CSA variant by means of empirical investigations
Evolution Strategies (ES) for black-box optimization of a function f : Rn → R are investigated. Namely, we consider the cumulative step-size adaptation (CSA) for the variance of...
Jens Jägersküpper, Mike Preuss
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 8 months ago
Combining cartesian genetic programming with an estimation of distribution algorithm
This paper describes initial testing of a novel idea to combine a CGP with an EDA. In recent work a new improved crossover technique was successfully applied to a CGP. To implemen...
Janet Clegg

Publication
286views
15 years 8 months ago
 Stereo analysis of low textured regions with application towards sea-ice reconstruction
Images with large areas of low texture pose significant challenge to stereo algorithms. We propose a novel segmentation based stereo scheme tuned to handle such scenes. We combine ...
Rohith MV, Gowri Somanath, Chandra Kambhamettu, Ca...
MM
2010
ACM
196views Multimedia» more  MM 2010»
15 years 7 months ago
Non-parametric anomaly detection exploiting space-time features
In this paper a real-time anomaly detection system for video streams is proposed. Spatio-temporal features are exploited to capture scene dynamic statistics together with appearan...
Lorenzo Seidenari, Marco Bertini