DocumentCode
2620813
Title
Improved rule based rough set approach for target recognition
Author
Yong, Liu ; Congfu, Xu ; Zhiyong, Yan ; Yunhe, Pan
Author_Institution
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Volume
2
fYear
2005
fDate
25-27 July 2005
Firstpage
550
Abstract
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. We compare the new approach with our previous nonincremental algorithm in detail, especially analyze the temporal complexities of these two algorithms. Some comparable experiments have been completed in our "Information Fusion System for Communication Interception Information (IFS/CI2)". Experiment results show that the new algorithm is more efficient than the previous while the recognition ratio is satisfying.
Keywords
knowledge based systems; matrix algebra; object recognition; rough set theory; target tracking; discernibility matrix; incremental target recognition; nonincremental algorithm; rule based rough set theory; temporal complexity; Algorithm design and analysis; Data mining; Databases; Educational institutions; Frequency; Kinematics; Reconnaissance; Set theory; Surveillance; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2005 IEEE International Conference on
Print_ISBN
0-7803-9017-2
Type
conf
DOI
10.1109/GRC.2005.1547352
Filename
1547352
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