NDLI: Pair-wise sequential reduced set for optimization of support vector machines

Content Provider	IEEE Xplore Digital Library
Author	Xipan Xiao Haizhou Ai Guangyou Xu
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Xipan Xiao; Haizhou Ai; Guangyou Xu)
Abstract	Support vector machine (SVM) has been proved to be a powerful tool for solving practical pattern recognition problems based on learning from data. Due to large number of support vectors learnt from huge amount of training data the SVM becomes too computational intensive to many critical problems. In this paper we develop a reliable reduced set vectors method to speed up the SVM with Gaussian kernel. A set of reduced vector pairs (RVPs) are calculated from the support vectors. In the case of face detection, by considering the RVPs sequentially, if at any point a window is deemed too unlikely to cease the sequential evaluation, obviating the need to evaluate the remaining RVPs so that we only need to apply a subset of the RVPs to eliminate things that are obviously not a face.
Starting Page	860
Ending Page	863
File Size	192235
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1048438
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Face detection Kernel Convergence Intelligent systems Learning systems Machine learning Pattern recognition Object detection Computational complexity
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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