SVM compound kernel functions for vehicle target classification

• Main Authors: Roxas, Edison A., Vicerra, Ryan Rhay P., Gan Lim, Laurence A., Dadios, Elmer P., Bandala, Argel A.
• Format: text
• Published: Animo Repository 2018
• Subjects: Kernel functions; Vehicles—Classification; Computer vision; Support vector machines; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2878
• Institution: De La Salle University

The focus of this paper is to explore the use of kernel combinations of the support vector machines (SVMs) for vehicle classification. Being the primary component of the SVM, the kernel functions are responsible for the pattern analysis of the vehicle dataset and to bridge its linear and non-linear...