Product-Image Classification with Support Vector Machine

Shi Jie Jia; Jian Ying Zhao; Yan Ping Yang; Nan Xiao

doi:10.4028/www.scientific.net/AMR.433-440.6019

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Product-Image Classification with Support Vector...

Product-Image Classification with Support Vector Machine

Abstract:

SVMs with kernel have been established with good generalization capabilities. This paper proposed a supervised product-image classification method based on SVM and Pyramid Histogram of words(PHOW). We tested several kernel functions on PI100 (Microsoft product-image dataset), such as linear, Radial Basis, Chi-square, histogram intersection and spatial pyramid kernel. Experimental results showed the effectiveness of our algorithm.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

6019-6022

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.6019

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Online since:

January 2012

Authors:

Shi Jie Jia, Jian Ying Zhao, Yan Ping Yang, Nan Xiao

Keywords:

Kernel Function, Pyramid Histogram of Words, Support Vector Machine (SVM)

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