Name
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 non-incremental 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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/GRC.2005.1547352 | GrC |
Keywords | DocType | Volume |
data mining,object recognition,algorithm design and analysis,frequency,rough set theory,kinematics,knowledge based systems,databases,set theory | Conference | 2005 |
Issue | ISSN | ISBN |
null | null | 0-7803-9017-2 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
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 |