Abstract | ||
---|---|---|
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. Some comparable experiments have been completed in our “Information Fusion System for Communication Interception Information (IFS/CI2)”. The results of experimentation illuminate that the new algorithm is more efficient than the previous algorithm. |
Year | DOI | Venue |
---|---|---|
2005 | null | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
rough set theory | Information system,Pattern recognition,Matrix (mathematics),Computer science,Sensor fusion,Rough set,Artificial intelligence,Recognition algorithm,Information fusion | Conference |
Volume | Issue | ISSN |
3613 LNAI | null | 16113349 |
ISBN | Citations | PageRank |
3-540-28312-9 | 0 | 0.34 |
References | Authors | |
3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yong Liu | 1 | 213 | 45.82 |
Congfu Xu | 2 | 131 | 15.71 |
Zhiyong Yan | 3 | 13 | 2.55 |
Yunhe Pan | 4 | 1223 | 84.09 |