文献类型：期刊文献

英文题名：A novel information fusion algorithm management approach

作者：Du, Siwei[1]; Lin, Jiajun[1]; Cheng, Hua[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2012

起止页码：2143

外文期刊名：2012 International Conference on Systems and Informatics, ICSAI 2012

收录：EI(收录号：20123115290444)

语种：英文

外文关键词：Target tracking - Information management - Information fusion - Decision making - Problem solving

摘要：In information fusion system, many algorithms that possess performance characteristics are existed to solve a single problem. The usual approach in this situation is to manually select the algorithm which has the best average performance. However, this strategy has drawbacks when the whole information fusion procedure is divided into several steps. This paper presents a modeling method that uses Markov decision process to guide algorithm selection and combination with fast performance prediction and evaluative feedback. The experimental study focuses on the classic problems of target tracking in an actual information fusion system. The encouraging results reveal the potential of applying Markov decision process to algorithm management problem. ? 2012 IEEE.