Conference paper

MUSIL Marek. Reducing the Run-time Complexity of Support Vector Machine Used for Rail Candidates Detection. In: International Masaryk conference for Ph.D. students and young researchers. Hradec Králové: Akademické sdružení MAGNANIMITAS Assn., 2015, pp. 2138-2146. ISBN 978-80-87952-12-2. Available from: http://www.vedeckekonference.cz/index.php?option=com_content&view=article&id=79&Itemid=66&lang=en
Publication language:english
Original title:Reducing the Run-time Complexity of Support Vector Machine Used for Rail Candidates Detection
Title (cs):Snížení časové složitosti Support Vector Machine pro detekci kandidátů na kolejnice
Pages:2138-2146
Proceedings:International Masaryk conference for Ph.D. students and young researchers
Conference:Mezinárodní Masarykova konference MMK 2015
Series:vol. VI
Place:Hradec Králové, CZ
Year:2015
URL:http://www.vedeckekonference.cz/index.php?option=com_content&view=article&id=79&Itemid=66&lang=en
ISBN:978-80-87952-12-2
Publisher:Akademické sdružení MAGNANIMITAS Assn.
Keywords
computer-vision, Histogram of Oriented Gradients (HOG), optimization, performance, rail candidates detection, run-time complexity, Support Vector Machine (SVM)
Annotation
Support Vector Machine (SVM) is a technique for classification and regression. It uses a decision surface called hyperplane that depends on the regularization parameter and training points lying in the margin of the hyperplane. The run-time complexity of SVM may be reduced through the hyperplane affected by the regularization parameter. We deal with rails recognition in images taken from the camera mounted on the board of the locomotive. For the purpose of rail candidates detection, we deployed an algorithm using SVM. We performed several experiments under different settings. In this paper, we introduce an algorithm using SVM and the impact of its regulation parameter as well as others possible on SVM-performance. The main goal is to decrease time-complexity while maintaining classification success rate.
BibTeX:
@INPROCEEDINGS{
   author = {Marek Musil},
   title = {Reducing the Run-time Complexity of Support Vector Machine
	Used for Rail Candidates Detection},
   pages = {2138--2146},
   booktitle = {International Masaryk conference for Ph.D. students and
	young researchers},
   series = {vol. VI},
   year = {2015},
   location = {Hradec Kr{\'{a}}lov{\'{e}}, CZ},
   publisher = {Akademick{\'{e}} sdru{\v{z}}en{\'{i}} MAGNANIMITAS Assn.},
   ISBN = {978-80-87952-12-2},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=11088}
}

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