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Volumn , Issue , 2016, Pages 417-421

Online Arabic Handwriting Recognition with Dropout Applied in Deep Recurrent Neural Networks

Author keywords

Deep neural Network; Dropout; Handwriting recognition; Online recognition; Recurrent Neural Network

Indexed keywords

CHARACTER RECOGNITION;

EID: 84979610014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DAS.2016.49     Document Type: Conference Paper
Times cited : (33)

References (24)
  • 8
    • 68249091203 scopus 로고    scopus 로고
    • 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
  • 21
    • 0001116877 scopus 로고
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.