"Genetic Algorithms for Perceptual Codes Extraction"
written by Mahmoud Ltaief, Sourour Njah, Hala Bezine, Adel M. Alimi,
published by Journal of Intelligent Learning Systems and Applications, Vol.4 No.4, 2012
has been cited by the following article(s):
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[1] Convolutional Neural Networks for Online Arabic Characters Recognition with Beta-Elliptic Knowledge Domain
[2] Neural Architecture based on Fuzzy Perceptual Representation For Online Multilingual Handwriting Recognition
[3] Handwriting perceptual classification and synthesis using discriminate HMMs and progressive iterative approximation
[4] Arabic Online Handwriting Recognition (AOHR): A Survey
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[5] Arabic Online Handwriting Recognition (AOHR) A Survey
[6] Training a Spiking Neural Network to Generate Online Handwriting Movements
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[7] Online Arabic Text Recognition Using Statistical Techniques
[8] A Spiking Neural Network Model with Fuzzy Learning Rate Application for Complex Handwriting Movements Generation
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[9] A spiking motor-model for online handwriting movements generation
[10] A Spiking Neural Network Model for Complex Handwriting Movements Generation
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[11] The genetic algorithm optimize computing applications in computer network reliability analysis
[12] A HMM Model Based on Perceptual Codes for On-line Handwriting Generation
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[13] On-line Handwritten English Character Recognition Using Genetic Algorithm
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[14] Res. Group on Intell. Machines (REGIM), Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on. IEEE, 2012
[15] A neuro-Beta-elliptic model for handwriting generation movements
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition. IEEE Computer Society, 2012