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ICDAR
2003
IEEE
15 years 7 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
IJCNN
2000
IEEE
15 years 6 months ago
Analog Hardware Implementation of the Random Neural Network Model
This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposed circuit uses the general principles resulting from the u...
Hossam Abdelbaki, Erol Gelenbe, Said E. El-Khamy
WIOPT
2010
IEEE
15 years 2 days ago
Static community detection algorithms for evolving networks
—Complex networks can often be divided in dense sub-networks called communities. Using a partition edit distance, we study how three community detection algorithms transform thei...
Thomas Aynaud, Jean-Loup Guillaume
ESANN
2007
15 years 3 months ago
Informational cost in correlation-based neuronal networks
The cost of maintaining a given level of activity in a neuronal network depends on its size and degree of connectivity. Should a neural function require large-size fully-connected ...
Gaetano Liborio Aiello, Carlo Casarino
EUC
2005
Springer
15 years 7 months ago
ANTS: An Evolvable Network of Tiny Sensors
As a promising technology that enables ubiquitous computing and leads IT industries of next generation, sensor networks (SN) are foreseen to expand and populate the globe in such a...
Daeyoung Kim, Tomás López, Seongeun ...