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ICPR
2002
IEEE
14 years 9 months ago
Recognizing Emphysema- A Neural Network Approach
An accurate and fully automatic method for detecting and quantifying emphysema in CT-images is presented. The method is based on an image preprocessing step followed by a neural n...
Hans Knutsson, Magnus Borga, Mikael Lundberg, Ola ...
ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
14 years 2 months ago
Unmanned Aerial Vehicle (UAV) Modelling based on Supervised Neural Networks
This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
CIMCA
2005
IEEE
14 years 1 months ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
FPL
2003
Springer
144views Hardware» more  FPL 2003»
14 years 1 months ago
FPGA Implementations of Neural Networks - A Survey of a Decade of Progress
The first successful FPGA implementation [1] of artificial neural networks (ANNs) was published a little over a decade ago. It is timely to review the progress that has been made i...
Jihan Zhu, Peter Sutton
ESANN
2008
13 years 9 months ago
Neural network hardware architecture for pattern recognition in the HESS2 project
In this paper, we consider the problem of implementation of neural network in the context of the level 2 trigger of HESS2 project. We propose a hardware architecture which which ta...
Narayanan Ramanan, Sonia Khatchadourian, Jean-Chri...