The Hypercube Separation algorithm: A fast and efficient algorithm for on-line handwritten character recognition-Reference-Cited by-同舟云学术

The Hypercube Separation algorithm: A fast and efficient algorithm for on-line handwritten character recognition

Published:1996-04 Issue:2 Volume:6 Page:101-116
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Ulgen Figen,Akamatsu Norio,Iwasa Takenori

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/BF00117811.pdf

Reference16 articles.

1. H.M.A. Andree et al., ?A comparison study of binary feedforward neural networks and digital circuits,? Neural Networks, vol. 6, pp. 785?790, 1993.

2. J. Dayhoff, ?Neural network architectures: An introduction,? Van Nostrand Reinhold, New York, 1990.

3. J. Guo et al., ?Recognition of handwritten characters using pattern transformation method with cosine function,? Trans. of the IEICE, vol. J76-D-II, no. 4, pp. 835?842, 1993 (in Japanese).

4. D. Hammerstrom, ?Working with neural networks,? IEEE Spectrum, vol. 30, no. 7, pp. 46?53, 1993.

5. K. Imai, K. Gouhara, and Y. Uchikawa, ?Handwritten letter recognition for noisy images using the three-layered BP-models,? Trans. of the IEICE, vol. J75-D-II, no. 2, pp. 314?323, 1992 (in Japanese).

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online signature verification by spectrogram analysis;Applied Intelligence;2017-08-01

2. Quantifying Structural Time Varying Changes in Helical Data;Neural Computing & Applications;2001-05-09

3. Classification of helical structures;Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium;2000

4. A SINGLE NEAREST NEIGHBOR FUZZY APPROACH FOR PATTERN RECOGNITION;International Journal of Pattern Recognition and Artificial Intelligence;1999-02

5. EFFECT OF NOISE ON GENERALISATION IN MASSIVELY PARALLEL FUZZY SYSTEMS;Pattern Recognition;1998-11