NDLI: Source diversity and feature-level fusion

Content Provider	IEEE Xplore Digital Library
Author	Bedworth, M.D.
Copyright Year	1999
Description	Author affiliation: Defence Evaluation & Res. Agency, Malvern, UK (Bedworth, M.D.)
Abstract	We briefly review the various models proposed for data fusion systems. A common theme of these models is the existence of multiple levels of processing within the data fusion process. We highlight some of the issues which emerge from using such a layered approach, in particular the selection of sources at each level which are both relevant and complementary. The balance between relevance and complementarity is shown to be present at all levels in the data fusion process. Each strand of processing cannot afford to rely too heavily on other information sources since the system needs to be robust to sensor or communications failures. For the purposes of illustration we develop a number of small data fusion systems which carry out simple fusion at the feature level. We use a multilayer perceptron neural network and show how a mixed error criterion which incorporates both local performance and fused performance leads to a selection of sources which is both relevant (in a local sense) and complementary (in a global sense).
Starting Page	597
Ending Page	602
File Size	516935
Page Count	6
File Format	PDF
ISBN	0780352564
DOI	10.1109/IDC.1999.754222
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-02-08
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Sensor fusion Feedback Sensor phenomena and characterization Feature extraction Diversity reception Robustness Sensor systems Multilayer perceptrons Multi-layer neural network
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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