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IEEEICCI
2009
IEEE
15 years 4 months 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
CODES
2006
IEEE
16 years 1 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
IWANN
2005
Springer
16 years 15 days 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...
AMC
2008
106views more  AMC 2008»
15 years 7 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
FLAIRS
2007
15 years 9 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