Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2013(Vol.5, Issue:20)
Article Information:

Kernel Selection of SVM for Commerce Image Classification

Lou Xiongwei and Huang Decai
Corresponding Author:  Lou Xiongwei 
Submitted: September 22, 2012
Accepted: November 12, 2012
Published: May 15, 2013
Abstract:
Content-based image classification refers to associating a given image to a predefined class merely according to the visual information contained in the image. In this study, we employ SVM (Support Vector Machine) and presented a few kernels specifically designed to deal with the problem of content-based image classification. Several common kernel functions are compared for commerce image classification with the PHOW (Pyramid Histogram of visual Words) descriptors. The experiment results illustrate that chi-square kernel and histogram intersection kernel are more effective with the histogram based image descriptor for commerce image classification.

Key words:  Commerce image classification, kernel selection, SVM, , , ,
Abstract PDF HTML
Cite this Reference:
Lou Xiongwei and Huang Decai, . Kernel Selection of SVM for Commerce Image Classification. Research Journal of Applied Sciences, Engineering and Technology, (20): 4850-4856.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved