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Khaoula Jayech
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2010 – 2019
- 2019
- [c6]Khaoula Jayech:
Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition. IDEAL (1) 2019: 476-485 - 2017
- [c5]Khaoula Jayech:
Regularized Deep Convolutional Neural Networks for Feature Extraction and Classification. ICONIP (2) 2017: 431-439 - [c4]Khaoula Jayech, Mohamed Ali Mahjoub
:
Object Recognition Based on Dynamic Random Forests and SURF Descriptor. IDEAL 2017: 355-364 - 2016
- [j2]Khaoula Jayech, Mohamed Ali Mahjoub, Najoua Essoukri Ben Amara:
Arabic handwritten word recognition based on dynamic bayesian network. Int. Arab J. Inf. Technol. 13(6B): 1024-1031 (2016) - [j1]Khaoula Jayech, Mohamed Ali Mahjoub
Synchronous Multi-Stream Hidden Markov Model for offline Arabic handwriting recognition without explicit segmentation. Neurocomputing 214: 958-971 (2016) - 2015
- [c3]Khaoula Jayech, Mohamed Ali Mahjoub
Arabic Handwriting Recognition Based on Synchronous Multi-stream HMM Without Explicit Segmentation. HAIS 2015: 136-145 - 2014
- [c2]Khaoula Jayech, Mohamed Ali Mahjoub
Improving of handwritten Tunisian City names recognition based on Factorial Hidden Markov Model. IPAS 2014: 1-6 - [i1]Khaoula Jayech, Nesrine Trimech, Mohamed Ali Mahjoub, Najoua Essoukri Ben Amara:
Dynamic Hierarchical Bayesian Network for Arabic Handwritten Word Recognition. CoRR abs/1405.5248 (2014) - 2013
- [c1]Khaoula Jayech, Nesrine Trimech, Mohamed Ali Mahjoub
Dynamic hierarchical Bayesian network for Arabic handwritten word recognition. ICTA 2013: 1-6
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