NDLI: A two-stage approach to feature downselection for pattern recognition

Content Provider	IEEE Xplore Digital Library
Author	Abbott, D.W.
Copyright Year	1995
Description	Author affiliation: PAR Gov. Syst. Corp., La Jolla, CA, USA (Abbott, D.W.)
Abstract	Pattern recognition and classification algorithms have often relied upon the designer to determine which features are likely to be able to provide good discrimination, and given this set of features and a fixed model architecture to find the parameters that minimize a performance criterion. However, correlations among features can have damaging effects on the determination of decision boundaries in classifiers. Linear correlations can be identified easily, but nonlinear correlations, while also having detrimental effects, are usually not identified. By removing these, models can be made simpler and more robust. Additionally, other features may not have an appreciable effect on classifier performance (or even have a detrimental effect), and should be removed from the set of input features. By combining these two feature pruning approaches, input features can be substantially reduced without hurting classifier performance (and often helping). A data set of three-degree-of-freedom ballistics is used to demonstrate correlation removal and feature pruning.
Starting Page	1527
Ending Page	1532
File Size	532027
Page Count	6
File Format	PDF
ISBN	0780325591
DOI	10.1109/ICSMC.1995.537989
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern recognition Robustness Government Classification algorithms Algorithm design and analysis Heart Testing Least squares approximation Parameter estimation Eigenvalues and eigenfunctions
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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