-
1
-
-
84887978189
-
Online Arabic databases and applications
-
Springer London
-
Boubaker, H., Elbaati, A., Tagougui, N., El Abed, H., Kherallah, M., & Alimi, A. M. (2012). Online Arabic databases and applications. In Guide to OCR for Arabic Scripts (pp. 541-557). Springer London
-
(2012)
Guide to OCR for Arabic Scripts
, pp. 541-557
-
-
Boubaker, H.1
Elbaati, A.2
Tagougui, N.3
El Abed, H.4
Kherallah, M.5
Alimi, A.M.6
-
2
-
-
84881617410
-
Online Arabic handwriting recognition: A survey
-
Tagougui, N., Kherallah, M., & Alimi, A. M. (2013). Online Arabic handwriting recognition: a survey. International Journal on Document Analysis and Recognition (IJDAR), 16(3), 209-226
-
(2013)
International Journal on Document Analysis and Recognition (IJDAR)
, vol.16
, Issue.3
, pp. 209-226
-
-
Tagougui, N.1
Kherallah, M.2
Alimi, A.M.3
-
4
-
-
84979578877
-
-
arXiv preprint arXiv:1401.0486
-
Tagougui, N., Boubaker, H., Kherallah, M., & Alimi, A. M. (2014). A Hybrid NN/HMM modeling technique for online Arabic handwriting recognition. ArXiv preprint arXiv:1401.0486
-
(2014)
A Hybrid NN/HMM Modeling Technique for Online Arabic Handwriting Recognition
-
-
Tagougui, N.1
Boubaker, H.2
Kherallah, M.3
Alimi, A.M.4
-
5
-
-
85161980569
-
Unconstrained on-line handwriting recognition with recurrent neural networks
-
Graves, A., Liwicki, M., Bunke, H., Schmidhuber, J., & Fernández, S. (2008). Unconstrained on-line handwriting recognition with recurrent neural networks. InAdvances in Neural Information Processing Systems (pp. 577-584)
-
(2008)
Advances in Neural Information Processing Systems
, pp. 577-584
-
-
Graves, A.1
Liwicki, M.2
Bunke, H.3
Schmidhuber, J.4
Fernández, S.5
-
6
-
-
84890543083
-
Speech recognition with deep recurrent neural networks
-
May,IEEE
-
Graves, A., Mohamed, A. R., & Hinton, G. (2013, May). Speech recognition with deep recurrent neural networks. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 6645-6649). IEEE
-
(2013)
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
, pp. 6645-6649
-
-
Graves, A.1
Mohamed, A.R.2
Hinton, G.3
-
7
-
-
84889587972
-
Improvements in RWTH's system for off-line handwriting recognition
-
August,IEEE
-
Kozielski, M., Doetsch, P., & Ney, H. (2013, August). Improvements in RWTH's System for Off-Line Handwriting Recognition. In Document Analysis and Recognition (ICDAR), 2013 12th International Conference on (pp. 935-939). IEEE
-
(2013)
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
, pp. 935-939
-
-
Kozielski, M.1
Doetsch, P.2
Ney, H.3
-
8
-
-
68249091203
-
A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks
-
September
-
Liwicki, M., Graves, A., Bunke, H., & Schmidhuber, J. (2007, September). A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks. In Proc. 9th Int. Conf. on Document Analysis and Recognition (Vol. 1, pp. 367-371)
-
(2007)
Proc. 9th Int. Conf. on Document Analysis and Recognition
, vol.1
, pp. 367-371
-
-
Liwicki, M.1
Graves, A.2
Bunke, H.3
Schmidhuber, J.4
-
9
-
-
84867720412
-
-
arXiv preprint arXiv:1207.0580
-
Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. R. (2012). Improving neural networks by preventing co-adaptation of feature detectors. ArXiv preprint arXiv:1207.0580
-
(2012)
Improving Neural Networks by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
10
-
-
84904163933
-
Dropout: A simple way to prevent neural networks from overfitting
-
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. (2014). Dropout: A simple way to prevent neural networks from overfitting. The Journal of Machine Learning Research, 15(1), 1929-1958
-
(2014)
The Journal of Machine Learning Research
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
12
-
-
84905252086
-
Improving deep neural networks for LVCSR using dropout and shrinking structure
-
May,IEEE
-
Zhang, S., Bao, Y., Zhou, P., Jiang, H., & Dai, L. (2014, May). Improving deep neural networks for LVCSR using dropout and shrinking structure. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 6849-6853). IEEE
-
(2014)
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
, pp. 6849-6853
-
-
Zhang, S.1
Bao, Y.2
Zhou, P.3
Jiang, H.4
Dai, L.5
-
14
-
-
84942258824
-
Dropout improves recurrent neural networks for handwriting recognition
-
September,IEEE
-
Pham, V., Bluche, T., Kermorvant, C., & Louradour, J. (2014, September). Dropout improves recurrent neural networks for handwriting recognition. InFrontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on (pp. 285-290). IEEE
-
(2014)
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
, pp. 285-290
-
-
Pham, V.1
Bluche, T.2
Kermorvant, C.3
Louradour, J.4
-
16
-
-
71249099853
-
Icdar 2009 online Arabic handwriting recognition competition
-
July,IEEE
-
El Abed, H., Margner, V., Kherallah, M., & Alimi, A. M. (2009, July). Icdar 2009 online Arabic handwriting recognition competition. In Document Analysis and Recognition, 2009. ICDAR'09. 10th International Conference on (pp. 1388-1392). IEEE
-
(2009)
Document Analysis and Recognition, 2009. ICDAR'09. 10th International Conference on
, pp. 1388-1392
-
-
El Abed, H.1
Margner, V.2
Kherallah, M.3
Alimi, A.M.4
-
17
-
-
79952106573
-
Online Arabic handwriting recognition competition
-
El Abed, H., Kherallah, M., Märgner, V., & Alimi, A. M. (2011). Online Arabic handwriting recognition competition. International Journal on Document Analysis and Recognition (IJDAR), 14(1), 15-23
-
(2011)
International Journal on Document Analysis and Recognition (IJDAR)
, vol.14
, Issue.1
, pp. 15-23
-
-
El Abed, H.1
Kherallah, M.2
Märgner, V.3
Alimi, A.M.4
-
18
-
-
82355192046
-
Online Arabic handwriting recognition competition
-
September,IEEE
-
Kherallah, M., Tagougui, N., Alimi, A. M., Abed, H. E., & Märgner, V. (2011, September). Online Arabic handwriting recognition competition. In Document Analysis and Recognition (ICDAR), 2011 International Conference on (pp. 1454-1458). IEEE
-
(2011)
Document Analysis and Recognition (ICDAR), 2011 International Conference on
, pp. 1454-1458
-
-
Kherallah, M.1
Tagougui, N.2
Alimi, A.M.3
Abed, H.E.4
Märgner, V.5
-
19
-
-
0031573117
-
Long short-term memory
-
Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural computation, 9(8), 1735-1780
-
(1997)
Neural Computation
, vol.9
, Issue.8
, pp. 1735-1780
-
-
Hochreiter, S.1
Schmidhuber, J.2
-
20
-
-
33749259827
-
Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
-
June,ACM
-
Graves, A., Fernández, S., Gomez, F., & Schmidhuber, J. (2006, June). Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. In Proceedings of the 23rd international conference on Machine learning (pp. 369-376). ACM
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning
, pp. 369-376
-
-
Graves, A.1
Fernández, S.2
Gomez, F.3
Schmidhuber, J.4
-
21
-
-
0001116877
-
Binary codes capable of correcting deletions, insertions, and reversals
-
February
-
Levenshtein, V. I. (1966, February). Binary codes capable of correcting deletions, insertions, and reversals. In Soviet physics doklady (Vol. 10, No. 8, pp. 707-710)
-
(1966)
Soviet Physics Doklady
, vol.10
, Issue.8
, pp. 707-710
-
-
Levenshtein, V.I.1
-
22
-
-
84979599275
-
Artificial tutor for Arabic handwriting training
-
April
-
Abdou, S., Fahmy, A., Hosney, I., & Mostafa, I. (2009, April). Artificial Tutor For Arabic Handwriting Training. In Proceedings of the Second International Conference on Arabic Language Resources and Tools (pp. 24-30)
-
(2009)
Proceedings of the Second International Conference on Arabic Language Resources and Tools
, pp. 24-30
-
-
Abdou, S.1
Fahmy, A.2
Hosney, I.3
Mostafa, I.4
-
23
-
-
82355192099
-
On-line Arabic handwritten personal names recognition system based on HMM
-
September,IEEE
-
Abdelazeem, S., & Eraqi, H. M. (2011, September). On-line Arabic handwritten personal names recognition system based on HMM. In Document Analysis and Recognition (ICDAR), 2011 International Conference on (pp. 1304-1308). IEEE
-
(2011)
Document Analysis and Recognition (ICDAR), 2011 International Conference on
, pp. 1304-1308
-
-
Abdelazeem, S.1
Eraqi, H.M.2
|