A Simple and Fast Multi-instance Classification via Support Vector Machine

Authors:
Zhiquan Qi;Yingjie Tian;Yong Shi
Affiliations:
-;-;-
Venue:
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2012

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Abstract

In this paper, we proposed a Simple and Fast Multi-Instance Classification Via Support Vector Machine(called Fast MI-SVM). Compared with the other conventional Multi-Instance learning method, our method is able to deal with multi-instance learning problem by only solving a quadratic programming problem. So the training time of Fast MI-SVM is very fast. All numerical experiments on benchmark datasets show the feasibility and validity of the proposed method.