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Title: Combining classifiers using the dempster shafer theory of evidence by Imran Naseem ; supervised by Mohamed Deriche. دمج المصنفات باستخدام نظرية الدليل لدمبستر شافز
دمج المصنفات باستخدام نظرية الدليل لدمبستر شافز دمج المصنفات باستخدام نظرية الدليل لدمبستر شافز
Author: Naseem, Imran.
Deriche,Muhammad, supervisor.
General Notes: Thesis (M. Sc. in Electrical Engineering)--King Fahd University of Petroleum and Minerals (Dhahran, Saudi Arabia), Faculty of Engineering Sciences and Applied Engineering, 2005.
Includes bibliographical references and index.
Subject: In this thesis, author has proposed three novel algorithms to combine different biometric systems using the DST. NNEF (Nearest Neighbor Based Evidence Fusion) algorithm uses the nearest neighbor distance of the participating experts for as an evidence estimation parameter.
The electronic version is available in theses database // University of Jordan.
Includes abstracts in Arabic and English.

Subject: Electrical engineering.
Artificial intelligence.
Dempster-Shafer theory.
Dissertation Note: Thesis (M. Sc. in Electrical Engineering)--King Fahd University of Petroleum and Minerals (Dhahran, Saudi Arabia), Faculty of Engineering Sciences and Applied Engineering, 2005.

Physical Description: 1 electronic resource (151 p.) ; illustrations.

Publication Date: 2005.

	Agency:	Collection:	Call No.:	Item Type:	Status:	Copy:	Barcode:	Media Type:
	Theses & Disertations	Thesis	621.398 N246	No Circulation	Available	1	JUF0611944	Compact Disc Read-only Memory