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» A Neural Network Architecture for Visual Selection
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IEEEPACT
2008
IEEE
15 years 10 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
115
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ISNN
2005
Springer
15 years 9 months ago
Lidar Signal Processing for Under-Water Object Detection
Abstract. This paper presents Artificial Neural Network (ANN) based architecture for underwater object detection from Light Detection And Ranging (Lidar) data. Lidar gives a sequen...
Vikramjit Mitra, Chia-Jiu Wang, Satarupa Banerjee
JOCN
2010
104views more  JOCN 2010»
15 years 2 months ago
Spatial Attention Evokes Similar Activation Patterns for Visual and Auditory Stimuli
■ Neuroimaging studies suggest that a fronto-parietal network is activated when we expect visual information to appear at a specific spatial location. Here we examined whether a...
David V. Smith, Ben Davis, Kathy Niu, Eric W. Heal...
BMCBI
2011
14 years 7 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...
NECO
2007
127views more  NECO 2007»
15 years 3 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado