NDLI: Boosting Framework for Face Recognition

Content Provider	IEEE Xplore Digital Library
Author	Kala James, E.A. Annadurai, S.
Copyright Year	2007
Description	Author affiliation: Thanthai Periyar Gov. Inst. of Technol., Vellore (Kala James, E.A.)
Abstract	A novel weakness analysis theory has been developed to overcome the limitation of the strong learners in traditional boosting techniques. It is generally believed that boosting-like learning rules are not suited to a strong and stable learner such as LDA. The theory proposed here is composed of a cross-validation mechanism of weakening a strong learner and a subsequent estimation method of appropriate weakness for the classifiers created by the learner. The weakness analysis theory, attempts to boost the strong learner by increasing the diversity between the classifiers created by the learner, at the expense of decreasing their margins, so as to achieve a tradeoff suggested by recent boosting studies for a low generalization error. In addition, a novel distribution accounting for the pair wise class discriminant information is introduced for effective interaction between the booster and the learner. The integration of all these methodologies proposed here leads to a more flexible framework capable of boosting the traditional Face recognizers such as LDA and PCA. Promising experimental results obtained on various difficult face recognition scenarios demonstrate the effectiveness of the proposed approach. We believe that this work is especially beneficial in extending the boosting framework to accommodate general (strong/weak) learners.
Starting Page	371
Ending Page	376
File Size	375446
Page Count	6
File Format	PDF
ISBN	0769530508
DOI	10.1109/ICCIMA.2007.357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Boosting Face recognition Linear discriminant analysis Principal component analysis Machine learning Government Face detection Pattern recognition Error analysis Thumb
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