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Volumn , Issue , 2009, Pages 31-35

Evaluating retraining rules for semi-supervised learning in neural network based cursive word recognition

Author keywords

[No Author keywords available]

Indexed keywords

CURSIVE WORD; GENERAL VERSION; GROUND TRUTH; HANDWRITTEN WORD RECOGNITION; HANDWRITTEN WORDS; HIGH COSTS; LABELED AND UNLABELED DATA; LABELED TRAINING DATA; SELF-TRAINING; SEMI-SUPERVISED LEARNING; TRAINING SETS; UNLABELED DATA;

EID: 71249160512     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.18     Document Type: Conference Paper
Times cited : (31)

References (14)
  • 1
    • 0036643342 scopus 로고    scopus 로고
    • Survey On Off-Line Cursive Word Recognition
    • Alessandro Vinciarelli. A Survey On Off-Line Cursive Word Recognition. Pattern Recognition, 35(7):1433-1446, 2002.
    • (2002) Pattern Recognition , vol.35 , Issue.7 , pp. 1433-1446
    • Alessandro Vinciarelli, A.1
  • 3
    • 33749259827 scopus 로고    scopus 로고
    • Connectionist Temporal Classification: Labelling Unsegmented Sequential Data with Recurrent Neural Networks
    • Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber. Connectionist Temporal Classification: Labelling Unsegmented Sequential Data with Recurrent Neural Networks. In 23rd Int'l Conf. on Machine Learning, pages 369-376, 2006.
    • (2006) 23rd Int'l Conf. on Machine Learning , pp. 369-376
    • Graves, A.1    Fernández, S.2    Gomez, F.3    Schmidhuber, J.4
  • 6
    • 38049094034 scopus 로고
    • Probability of Error of Some Adaptive Pattern-Recognition Machines
    • H. J. Scudder. Probability of Error of Some Adaptive Pattern-Recognition Machines. IEEE Transaction on information Theory, 11:363-371, 1965.
    • (1965) IEEE Transaction on information Theory , vol.11 , pp. 363-371
    • Scudder, H.J.1
  • 8
    • 0005977840 scopus 로고    scopus 로고
    • Learning with Labeled and Unlabeled Data. Technical report, University of Edinburgh, 5 Forest Hill, Edinburgh
    • Matthias Seeger. Learning with Labeled and Unlabeled Data. Technical report, University of Edinburgh, 5 Forest Hill, Edinburgh, EH1 2QL, 2002.
    • (2002) , vol.EH1
    • Seeger, M.1
  • 11
    • 33749655915 scopus 로고    scopus 로고
    • Rejection Strategies for Off-Line Handwritten Text Line Recognition
    • Roman Bertolami, Matthias Zimmermann, and Horst Bunke. Rejection Strategies for Off-Line Handwritten Text Line Recognition. Pattern Recognition Letters, 27(16):2005-2012, 2006.
    • (2006) Pattern Recognition Letters , vol.27 , Issue.16 , pp. 2005-2012
    • Bertolami, R.1    Zimmermann, M.2    Bunke, H.3
  • 12
    • 0035247074 scopus 로고    scopus 로고
    • Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System
    • Urs-Victor Marti and Horst Bunke. Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System. Int'l Journal of Pattern Recognition and Artificial Intelligence, 15:65-90, 2001.
    • (2001) Int'l Journal of Pattern Recognition and Artificial Intelligence , vol.15 , pp. 65-90
    • Marti, U.-V.1    Bunke, H.2
  • 13
    • 84893412627 scopus 로고    scopus 로고
    • The IAM-Database: An English Sentence Database for Offline Handwriting Recognition
    • Urs-Victor Marti and Horst Bunke. The IAM-Database: An English Sentence Database for Offline Handwriting Recognition. Int'l Journal on Document Analysis and Recognition, 5:39-46, 2002.
    • (2002) Int'l Journal on Document Analysis and Recognition , vol.5 , pp. 39-46
    • Marti, U.-V.1    Bunke, H.2
  • 14
    • 71249157473 scopus 로고    scopus 로고
    • Xiaojin Zhu. Semi-Supervised Learning Literature Survey. Technical Report 1530, Computer Science, University of Wisconsin-Madison, 2005. http://www.cs.wisc.edu/~jerryzhu/pub/ssl survey.pdf.
    • Xiaojin Zhu. Semi-Supervised Learning Literature Survey. Technical Report 1530, Computer Science, University of Wisconsin-Madison, 2005. http://www.cs.wisc.edu/~jerryzhu/pub/ssl survey.pdf.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.