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TNN
2008
82views more  TNN 2008»
13 years 9 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
IJON
2007
124views more  IJON 2007»
13 years 9 months ago
Palmprint recognition with 2DPCA+PCA based on modular neural networks
In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class problem into many much easier two-class problems in sub-subspaces, was proposed to per...
Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia
IJBC
2002
65views more  IJBC 2002»
13 years 9 months ago
On the Templates Corresponding to Cycle-Symmetric Connectivity in Cellular Neural Networks
In the architecture of cellular neural networks (CNN), connections among cells are built on linear coupling laws. These laws are characterized by the so-called templates which exp...
Chih-Wen Shih, Chih-Wen Weng
JIFS
2002
60views more  JIFS 2002»
13 years 9 months ago
Turing's analysis of computation and artificial neural networks
A novel way to simulate Turing Machines (TMs) by Artificial Neural Networks (ANNs) is proposed. We claim that the proposed simulation is in agreement with the correct interpretatio...
Wilson Rosa de Oliveira, Marcílio Carlos Pe...
PRL
2002
101views more  PRL 2002»
13 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