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148
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IEEEICCI
2009
IEEE
15 years 9 days ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek
128
Voted
CODES
2006
IEEE
15 years 8 months ago
Integrated analysis of communicating tasks in MPSoCs
Predicting timing behavior is key to efficient embedded real-time system design and verification. Especially memory accesses and co-processor calls over shared communication net...
Simon Schliecker, Matthias Ivers, Rolf Ernst
115
Voted
IWANN
2005
Springer
15 years 8 months ago
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...
113
Voted
AMC
2008
106views more  AMC 2008»
15 years 2 months ago
A non-binary constraint ordering heuristic for constraint satisfaction problems
Abstract Nowadays many real problems can be modelled as Constraint Satisfaction Problems (CSPs). A search algorithm for constraint programming requires an order in which variables ...
Miguel A. Salido
143
Voted
FLAIRS
2007
15 years 4 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant