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» Discrete Fourier Transform Computation Using Neural Networks
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PRL
2002
101views more  PRL 2002»
14 years 9 months ago
Multifocus image fusion using artificial neural networks
Optical lenses, particularly those with long focal lengths, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all obj...
Shutao Li, James T. Kwok, Yaonan Wang
85
Voted
CVPR
1997
IEEE
15 years 11 months ago
Global Training of Document Processing Systems Using Graph Transformer Networks
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Léon Bottou, Yoshua Bengio, Yann LeCun
ESANN
2008
14 years 11 months ago
Petri nets design based on neural networks
Petri net faulty models are useful for reliability analysis and fault diagnosis of discrete event systems. Such models are difficult to work out as long as they must be computed ac...
Edouard Leclercq, Souleiman Ould el Medhi, Dimitri...
IJCNN
2000
IEEE
15 years 1 months ago
Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA
In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu
76
Voted
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 3 months ago
Extended probe method for linkage discovery over high-cardinality alphabets
The work addresses the problem of identifying the epistatic linkage of a function from high cardinality alphabets to the real numbers. It is a generalization of Heckendorn and Wri...
Shude Zhou, Zengqi Sun, Robert B. Heckendorn