Vehicle classification method using compound kernel functions

The focus of this paper is to explore the use of the Support Vector Machine (SVM) classifier. Though several literatures have already discussed the idea of using this method in vehicle classification, however, SVM accuracy is limited on the type of Kernel function used. Each Kernel functions has the...

Full description

Saved in:

Bibliographic Details
Main Authors:	Roxas, Edison A., Vicerra, Ryan Rhay P., Dadios, Elmer P., Bandala, Argel A.
Format:	text
Published:	Animo Repository 2018
Subjects:	Support vector machines Kernel functions Computer vision Vehicles Traffic monitoring Manufacturing Mechanical Engineering
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/2937
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-3936
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-39362021-11-17T02:25:36Z Vehicle classification method using compound kernel functions Roxas, Edison A. Vicerra, Ryan Rhay P. Dadios, Elmer P. Bandala, Argel A. The focus of this paper is to explore the use of the Support Vector Machine (SVM) classifier. Though several literatures have already discussed the idea of using this method in vehicle classification, however, SVM accuracy is limited on the type of Kernel function used. Each Kernel functions has their own characteristics and limitations that is highly dependent on its parameter. Thus, in order to overcome these limitations, a method of compounding Kernel function for vehicle classification is hereby implemented. © 2018 IEEE. 2018-06-22T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2937 Faculty Research Work Animo Repository Support vector machines Kernel functions Computer vision Vehicles Traffic monitoring Manufacturing Mechanical Engineering
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Support vector machines Kernel functions Computer vision Vehicles Traffic monitoring Manufacturing Mechanical Engineering
spellingShingle	Support vector machines Kernel functions Computer vision Vehicles Traffic monitoring Manufacturing Mechanical Engineering Roxas, Edison A. Vicerra, Ryan Rhay P. Dadios, Elmer P. Bandala, Argel A. Vehicle classification method using compound kernel functions
description	The focus of this paper is to explore the use of the Support Vector Machine (SVM) classifier. Though several literatures have already discussed the idea of using this method in vehicle classification, however, SVM accuracy is limited on the type of Kernel function used. Each Kernel functions has their own characteristics and limitations that is highly dependent on its parameter. Thus, in order to overcome these limitations, a method of compounding Kernel function for vehicle classification is hereby implemented. © 2018 IEEE.
format	text
author	Roxas, Edison A. Vicerra, Ryan Rhay P. Dadios, Elmer P. Bandala, Argel A.
author_facet	Roxas, Edison A. Vicerra, Ryan Rhay P. Dadios, Elmer P. Bandala, Argel A.
author_sort	Roxas, Edison A.
title	Vehicle classification method using compound kernel functions
title_short	Vehicle classification method using compound kernel functions
title_full	Vehicle classification method using compound kernel functions
title_fullStr	Vehicle classification method using compound kernel functions
title_full_unstemmed	Vehicle classification method using compound kernel functions
title_sort	vehicle classification method using compound kernel functions
publisher	Animo Repository
publishDate	2018
url	https://animorepository.dlsu.edu.ph/faculty_research/2937
_version_	1718382717010182144

Vehicle classification method using compound kernel functions

Similar Items