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基于Adaboost的手写体数字识别 被引量：9

Handwritten digit recognition based on Adaboost
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摘要 提出了一种新的基于集成学习算法Adaboost的手写体数字识别系统。Adaboost方法可以在仅比随机预测略好的弱分类器基础上构建高精度的强分类器。实验证明,基于Adaboost的手写体数字识别系统具有较高的识别率和泛化能力,已经应用在OCR识别软件中。 A handwritten digit recognition system based on Adaboost algorithm was introduced in this paper. Adaboost could construct a highly accurate classifier by combining many weak classifiers that just had slightly better accurate than random prediction. Experiment proved that the handwritten system based on Adaboost have low error rate and good ability of generalization. And it was integrated in a oct software.
作者 赵万鹏 古乐野
机构地区 中国科学院成都计算机应用研究所
出处 《计算机应用》 CSCD 北大核心 2005年第10期2413-2414,2417,共3页 journal of Computer Applications
关键词 ADABOOST 手写体数字识别 弱分类器 Adaboost handwritten digit recognition weak classifier
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献4

  • 1于玲,吴铁军.集成学习:Boosting算法综述[J].模式识别与人工智能,2004,17(1):52-59. 被引量：86
  • 2王海川,张立明.一种新的Adaboost快速训练算法[J].复旦学报（自然科学版）,2004,43(1):27-33. 被引量：27
  • 3FREUND Y, SCHAPIRE RE. Experiment With A New Boosting Algorithm[ A]. Proc of the 13th International Conference On Machine Learning, San Francisco, CA[ C], 1996. 148 - 156.
  • 4VIOLA P, JONES M. Robust Real-time Object Dectection[ A]. 8th IEEE International Co-nference On Computer Vision[ C]. USA: IEEE Computer Society Press, 2001.

二级参考文献63

  • 1陆璇.现代应用数学手册:概率统计与随机过程卷[M].北京:清华大学出版社,2000.188-238.
  • 2GuoG D, Zhang H J. Boosting for Fast Face Recognition. In: Proc of 2nd International Workshop on Recognition, Analysis and Tracking of Faces and Gestures in Real-Time Systems. Vancouver, Canada, 2001, 96- 100.
  • 3Abney S, Schapire R E, Singer Y. Boosting Applied to Tagging and PP Attachment. ln: Proc of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora. New Brunswick, NJ, 1999, 38-45.
  • 4Rochery M, Schapire R E, Rahim M, Gupta N. BoosTexter for Text Categorization in Spoken Language Dialogue. In: Autmmtic Speech Recognition and Understanding Workshop. Madonna di Campiglio Trento, Italy, 2001. Available at http://www, cs.princeton, edu/-schapire/publist, html.
  • 5Rochery M, Schapire R, Rahim M, Gupta N, Riceardi G, Bangalore S, Alshawi H, Douglas S. Combining Prior Knowledge and Boosting for Call Class~flcat~on in Spoken Language DiaLogue. In:Proc of International Conference on Aceousties, Speech and Signal. Orlando, Florida. 2002. Available at http://www, cs/princetonedu/-schapire/whatsnew. html.
  • 6Schapire R E, Singer Y. BcosTexter: A Bcosting-Based System for Text Categorization. Machine Learning, 2000, 39(2- 3): 135- 168.
  • 7Schapire R E, Rochery M, Rahim M, Gupta N. Incorporating Prior Knowledge into Boosting. In: Proc of the 19th International Conference on Machine Learning. Sydney, 2002, 538 - 545.
  • 8Schwenk H, Bengio Y. Adal3oosting Neural Networks: Application to On-Line Character Recognition. In: Proc of the International Conference on Artificial Neural Networks ( ICANN' 97 ). Lausanne, Switzerland: Springer-Verlag, 1997, 967-972.
  • 9Schwenk H. Using Boosting to lmprove a Hybrid HMM/'Neural Network Speech Recognizer. In: Proc of the IEEE International Conferenee on Acoustics, Speech, and Signal (ICASSP 99 ). Phoenix, Arizona, 1999, H : 1009 - 1012.
  • 10Myers K, Keams M, Singh S, Walker M A. A Boosting Approach to Topic Spotting on Subdialogues. In: Proc of the 17th International Conference on Machine Learning. San Francisco: Morgan Kaufmann, 2000, 655 - 662.

共引文献110

同被引文献46

引证文献9

二级引证文献32

计算机应用
2005年 第10期

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