Sequential Classifier Combination for Pattern Recognition in Wireless Sensor Networks

被引：0
|
作者：
Csirik, Janos [1 ]
Bertholet, Peter [2 ]
Bunke, Horst [2 ]
机构：
[1] Univ Szeged, Inst Informat, Szeged, Hungary
[2] Univ Bern, Inst Informat Appl Math, Bern, Switzerland
来源：
MULTIPLE CLASSIFIER SYSTEMS | 2011年 / 6713卷
关键词：
Sequential classifier combination; wireless sensor networks; feature ranking; feature selection; system lifetime; REJECT OPTION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In the current paper we consider the task of object classification in wireless sensor networks. Due to restricted battery capacity, minimizing the energy consumption is a main concern in wireless sensor networks. Assuming that each feature needed for classification is acquired by a sensor, a sequential classifier combination approach is proposed that aims at minimizing the number of features used for classification while maintaining a given correct classification rate. In experiments with data from the UCI repository, the feasibility of this approach is demonstrated.
引用
收藏
页码：187 / +
页数：3
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