Multi-view Support Vector Machines for Distributed Activity Recognition

被引：0
|
作者：
Mosabbeb, Ehsan Adeli [1 ]
Raahemifar, Kaamran [2 ]
Fathy, Mahmood [1 ]
机构：
[1] Iran Univ Sci & Technol, Tehran, Iran
[2] Ryerson Univ, Toronto, ON, Canada
来源：
2013 SEVENTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC) | 2013年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose a Multi-view Distributed SVM model. Most distributed classification models, distribute the instances among their processing nodes, while we assume that one instance is formed as a combination of information from different sources. This makes our model a great choice for multi-view activity recognition in camera sensor networks. We demonstrate the effectiveness of the algorithm, using the IXMAS dataset.
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页数：2
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