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» On computational limitations of neural network architectures
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ISCAS
1995
IEEE
97views Hardware» more  ISCAS 1995»
13 years 11 months ago
A New Paradigm for Developing Digital Systems Based on a Multi-Cellular Organization
Embryological electronics or “Embryonics” is a new paradigm for developing digital systems of any complexity, endowed of universal computation, self-repair and self-reproducti...
Daniel Mange, Serge Durand, Eduardo Sanchez, Andr&...
ICSOC
2005
Springer
14 years 1 months ago
PerfSONAR: A Service Oriented Architecture for Multi-domain Network Monitoring
In the area of network monitoring a lot of tools are already available to measure a variety of metrics. However, these tools are often limited to a single administrative domain so ...
Andreas Hanemann, Jeff W. Boote, Eric L. Boyd, J&e...
CORR
2008
Springer
69views Education» more  CORR 2008»
13 years 7 months ago
Solving Time of Least Square Systems in Sigma-Pi Unit Networks
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
Pierre Courrieu
IPPS
2006
IEEE
14 years 1 months ago
An overview of data aggregation architecture for real-time tracking with sensor networks
Abstract— Since sensor nodes normally have limited resources in terms of energy, bandwidth and computation capability, efficiency is a key design goal in sensor network research...
Tian He, Lin Gu, Liqian Luo, Ting Yan, John A. Sta...
ICANN
2005
Springer
14 years 1 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...