A rapid learning algorithm for vehicle classification-Reference-Cited by-同舟云学术

A rapid learning algorithm for vehicle classification

Published:2015-02 Issue: Volume:295 Page:395-406
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wen Xuezhi,Shao Ling,Xue Yu,Fang Wei

Funder

Jiangsu Oversea Research & Training Program for University Prominent Young & Middle-age Teachers and Presidents

Jiangsu Planned Projects for Postdoctoral Research Funds

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Research project of Nanjing University of Information Science and Technology

Priority Academic Program Development of Jiangsu Higher Education Institutions

Open Research Project of State Key Laboratory of Novel Software Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

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3. N. Blanc, B. Steux, and T. Hinz, LaRASideCam: A fast and robust vision-based blindspot detection system, in: Proceedings of the IEEE Intelligence and Vehicular Symposium, June 2007, pp. 480–485.

4. Vision-based vehicle detection system with consideration of the detecting location;Cheon;IEEE Trans. Intell. Transp. Syst.,2012

5. J. Cui, F. Liu, Z. Li, and Z. Jia, Vehicle localization using a single camera, in: Proceedings of the IEEE IV, June 2010, pp. 871–876.

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