Web-based distributed pattern recognition system

Sung Jung Hsiao; Wen Tsai Sung; Kuo Chin Fan

doi:10.1109/IV.2002.1028802

Web-based distributed pattern recognition system

Sung Jung Hsiao, Wen Tsai Sung, Kuo Chin Fan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

This study attempts to apply the principle of neural networks and pattern recognition (PR) technologies to real-time recognition by client-server network structure into a web-based recognizing system. In this paper, we recommend a Web-Based PR technology, which is improved recurrent neural network (RNN) from possessing feedback and non-linear activation function with its input, be taken out threshold. The purpose of this article is. to construct a Client-Server network structure for PR system with associative memory. The Server-end is built a databases management system for storage sample patterns. In proceed with training, the user can real-time assign any pattern, which is a record in the Server-end databases. In deal with retrieve task, we propose a novel PR method via databases matching, it can efficient solve spurious states problem from RNN in the WBPR system. On the other hand, taking advantage of Database Matching is to overcome the capacity restrictions on RNN. In order to clarify and corroborate the above Web-Based PR technology, thus a simulation experiment will be presented and their algorithms are also discussed.

Original language	English
Title of host publication	Proceedings - 6th International Conference on Information Visualisation, IV 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	375-382
Number of pages	8
ISBN (Electronic)	0769516564
DOIs	https://doi.org/10.1109/IV.2002.1028802
State	Published - 2002
Event	6th International Conference on Information Visualisation, IV 2002 - London, United Kingdom Duration: 10 Jul 2002 → 12 Jul 2002

Publication series

Name	Proceedings of the International Conference on Information Visualisation
Volume	2002-January
ISSN (Print)	1093-9547

Conference

Conference	6th International Conference on Information Visualisation, IV 2002
Country/Territory	United Kingdom
City	London
Period	10/07/02 → 12/07/02

Keywords

Associative memory
Automation
Character recognition
Computer science
Databases
Internet
Neural networks
Pattern recognition
Real time systems
Recurrent neural networks

Access to Document

10.1109/IV.2002.1028802

Cite this

Hsiao, S. J., Sung, W. T., & Fan, K. C. (2002). Web-based distributed pattern recognition system. In Proceedings - 6th International Conference on Information Visualisation, IV 2002 (pp. 375-382). Article 1028802 (Proceedings of the International Conference on Information Visualisation; Vol. 2002-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IV.2002.1028802

@inproceedings{d29b5be852044bbea012563edf074f5c,

title = "Web-based distributed pattern recognition system",

abstract = "This study attempts to apply the principle of neural networks and pattern recognition (PR) technologies to real-time recognition by client-server network structure into a web-based recognizing system. In this paper, we recommend a Web-Based PR technology, which is improved recurrent neural network (RNN) from possessing feedback and non-linear activation function with its input, be taken out threshold. The purpose of this article is. to construct a Client-Server network structure for PR system with associative memory. The Server-end is built a databases management system for storage sample patterns. In proceed with training, the user can real-time assign any pattern, which is a record in the Server-end databases. In deal with retrieve task, we propose a novel PR method via databases matching, it can efficient solve spurious states problem from RNN in the WBPR system. On the other hand, taking advantage of Database Matching is to overcome the capacity restrictions on RNN. In order to clarify and corroborate the above Web-Based PR technology, thus a simulation experiment will be presented and their algorithms are also discussed.",

keywords = "Associative memory, Automation, Character recognition, Computer science, Databases, Internet, Neural networks, Pattern recognition, Real time systems, Recurrent neural networks",

author = "Hsiao, {Sung Jung} and Sung, {Wen Tsai} and Fan, {Kuo Chin}",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 6th International Conference on Information Visualisation, IV 2002 ; Conference date: 10-07-2002 Through 12-07-2002",

year = "2002",

doi = "10.1109/IV.2002.1028802",

language = "???core.languages.en_GB???",

series = "Proceedings of the International Conference on Information Visualisation",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "375--382",

booktitle = "Proceedings - 6th International Conference on Information Visualisation, IV 2002",

}

Hsiao, SJ, Sung, WT & Fan, KC 2002, Web-based distributed pattern recognition system. in Proceedings - 6th International Conference on Information Visualisation, IV 2002., 1028802, Proceedings of the International Conference on Information Visualisation, vol. 2002-January, Institute of Electrical and Electronics Engineers Inc., pp. 375-382, 6th International Conference on Information Visualisation, IV 2002, London, United Kingdom, 10/07/02. https://doi.org/10.1109/IV.2002.1028802

Web-based distributed pattern recognition system. / Hsiao, Sung Jung; Sung, Wen Tsai; Fan, Kuo Chin.
Proceedings - 6th International Conference on Information Visualisation, IV 2002. Institute of Electrical and Electronics Engineers Inc., 2002. p. 375-382 1028802 (Proceedings of the International Conference on Information Visualisation; Vol. 2002-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Web-based distributed pattern recognition system

AU - Hsiao, Sung Jung

AU - Sung, Wen Tsai

AU - Fan, Kuo Chin

PY - 2002

Y1 - 2002

N2 - This study attempts to apply the principle of neural networks and pattern recognition (PR) technologies to real-time recognition by client-server network structure into a web-based recognizing system. In this paper, we recommend a Web-Based PR technology, which is improved recurrent neural network (RNN) from possessing feedback and non-linear activation function with its input, be taken out threshold. The purpose of this article is. to construct a Client-Server network structure for PR system with associative memory. The Server-end is built a databases management system for storage sample patterns. In proceed with training, the user can real-time assign any pattern, which is a record in the Server-end databases. In deal with retrieve task, we propose a novel PR method via databases matching, it can efficient solve spurious states problem from RNN in the WBPR system. On the other hand, taking advantage of Database Matching is to overcome the capacity restrictions on RNN. In order to clarify and corroborate the above Web-Based PR technology, thus a simulation experiment will be presented and their algorithms are also discussed.

AB - This study attempts to apply the principle of neural networks and pattern recognition (PR) technologies to real-time recognition by client-server network structure into a web-based recognizing system. In this paper, we recommend a Web-Based PR technology, which is improved recurrent neural network (RNN) from possessing feedback and non-linear activation function with its input, be taken out threshold. The purpose of this article is. to construct a Client-Server network structure for PR system with associative memory. The Server-end is built a databases management system for storage sample patterns. In proceed with training, the user can real-time assign any pattern, which is a record in the Server-end databases. In deal with retrieve task, we propose a novel PR method via databases matching, it can efficient solve spurious states problem from RNN in the WBPR system. On the other hand, taking advantage of Database Matching is to overcome the capacity restrictions on RNN. In order to clarify and corroborate the above Web-Based PR technology, thus a simulation experiment will be presented and their algorithms are also discussed.

KW - Associative memory

KW - Automation

KW - Character recognition

KW - Computer science

KW - Databases

KW - Internet

KW - Neural networks

KW - Pattern recognition

KW - Real time systems

KW - Recurrent neural networks

UR - http://www.scopus.com/inward/record.url?scp=84948664846&partnerID=8YFLogxK

U2 - 10.1109/IV.2002.1028802

DO - 10.1109/IV.2002.1028802

M3 - 會議論文篇章

AN - SCOPUS:84948664846

T3 - Proceedings of the International Conference on Information Visualisation

SP - 375

EP - 382

BT - Proceedings - 6th International Conference on Information Visualisation, IV 2002

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Information Visualisation, IV 2002

Y2 - 10 July 2002 through 12 July 2002

ER -

Web-based distributed pattern recognition system

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this