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ICDAR
2003
IEEE
14 years 28 days 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
2006
IEEE
14 years 1 months ago
Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex
— Neuronal activities related to context-dependent recall have been found in the monkey inferotemporal cortex. If we set the same task for an artificial neural network, however,...
Atsuo Suemitsu, Masahiko Morita
AICCSA
2007
IEEE
127views Hardware» more  AICCSA 2007»
13 years 11 months ago
Diesel Engine Indicated Torque Estimation Based on Artificial Neural Networks
Abstract-- This paper presents an artificial neural networks approach to estimate the indicated torque of a single-cylinder diesel engine from crank shaft angular position and velo...
Yahya H. Zweiri, Lakmal D. Seneviratne
ICNSC
2007
IEEE
14 years 2 months ago
Associative Memory for Noisy and Structurally Deformed Two-Dimensional Images Using Neural Networks
—This paper studies the problem of understanding noisy and structurally deformed two-dimensional images by means of abstractly defined neural works. First, in the framework of sy...
Hiroshi Inaba, Tomoki Takahashi, Keylan Alimhan
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
13 years 11 months ago
VLSI Design of Multi Standard Turbo Decoder for 3G and Beyond
Turbo decoding architectures have greater error correcting capability than any other known code. Due to their excellent performance turbo codes have been employed in several trans...
Imran Ahmed, Tughrul Arslan