Decision boundary feature extraction for neural networks

Chulhee Lee; David A. Landgrebe

doi:10.1109/ICSMC.1992.271652

Decision boundary feature extraction for neural networks

Chulhee Lee, David A. Landgrebe

Department of Electrical and Electronic Engineering

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

6 Citations (Scopus)

Abstract

In this paper, we propose a new feature extraction method for neural networks. The method is based on the recently published decision boundary feature extraction algorithm. It has been shown that all the necessary features for classification can be extracted from the decision boundary. To apply the decision boundary feature extraction method, we first define the decision boundary in neural networks. Next, we propose a procedure extracting all the necessary features for classification from the decision boundary. The proposed algorithm preserves the characteristics of neural networks, which can define arbitrary decision boundary. Experiments show promising result.

Original language	English
Title of host publication	1992 IEEE International Conference on Systems, Man, and Cybernetics
Subtitle of host publication	Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1053-1058
Number of pages	6
ISBN (Electronic)	0780307208, 9780780307209
DOIs	https://doi.org/10.1109/ICSMC.1992.271652
Publication status	Published - 1992
Event	IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992 - Chicago, United States Duration: 1992 Oct 18 → 1992 Oct 21

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	1992-January
ISSN (Print)	1062-922X

Other

Other	IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992
Country/Territory	United States
City	Chicago
Period	92/10/18 → 92/10/21

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Access to Document

10.1109/ICSMC.1992.271652

Cite this

Lee, C., & Landgrebe, D. A. (1992). Decision boundary feature extraction for neural networks. In 1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992 (pp. 1053-1058). [271652] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 1992-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSMC.1992.271652

Lee, Chulhee ; Landgrebe, David A. / Decision boundary feature extraction for neural networks. 1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 1053-1058 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

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abstract = "In this paper, we propose a new feature extraction method for neural networks. The method is based on the recently published decision boundary feature extraction algorithm. It has been shown that all the necessary features for classification can be extracted from the decision boundary. To apply the decision boundary feature extraction method, we first define the decision boundary in neural networks. Next, we propose a procedure extracting all the necessary features for classification from the decision boundary. The proposed algorithm preserves the characteristics of neural networks, which can define arbitrary decision boundary. Experiments show promising result.",

author = "Chulhee Lee and Landgrebe, {David A.}",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992 ; Conference date: 18-10-1992 Through 21-10-1992",

year = "1992",

doi = "10.1109/ICSMC.1992.271652",

language = "English",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

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Lee, C & Landgrebe, DA 1992, Decision boundary feature extraction for neural networks. in 1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992., 271652, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 1992-January, Institute of Electrical and Electronics Engineers Inc., pp. 1053-1058, IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992, Chicago, United States, 92/10/18. https://doi.org/10.1109/ICSMC.1992.271652

Decision boundary feature extraction for neural networks. / Lee, Chulhee; Landgrebe, David A.

1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 1053-1058 271652 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 1992-January).

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

TY - GEN

T1 - Decision boundary feature extraction for neural networks

AU - Lee, Chulhee

AU - Landgrebe, David A.

PY - 1992

Y1 - 1992

N2 - In this paper, we propose a new feature extraction method for neural networks. The method is based on the recently published decision boundary feature extraction algorithm. It has been shown that all the necessary features for classification can be extracted from the decision boundary. To apply the decision boundary feature extraction method, we first define the decision boundary in neural networks. Next, we propose a procedure extracting all the necessary features for classification from the decision boundary. The proposed algorithm preserves the characteristics of neural networks, which can define arbitrary decision boundary. Experiments show promising result.

AB - In this paper, we propose a new feature extraction method for neural networks. The method is based on the recently published decision boundary feature extraction algorithm. It has been shown that all the necessary features for classification can be extracted from the decision boundary. To apply the decision boundary feature extraction method, we first define the decision boundary in neural networks. Next, we propose a procedure extracting all the necessary features for classification from the decision boundary. The proposed algorithm preserves the characteristics of neural networks, which can define arbitrary decision boundary. Experiments show promising result.

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DO - 10.1109/ICSMC.1992.271652

M3 - Conference contribution

AN - SCOPUS:0343345523

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 1053

EP - 1058

BT - 1992 IEEE International Conference on Systems, Man, and Cybernetics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992

Y2 - 18 October 1992 through 21 October 1992

ER -

Lee C, Landgrebe DA. Decision boundary feature extraction for neural networks. In 1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992. Institute of Electrical and Electronics Engineers Inc. 1992. p. 1053-1058. 271652. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/ICSMC.1992.271652

Decision boundary feature extraction for neural networks

Abstract

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