Name
Title | ||
|---|---|---|
ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification. |
Abstract | ||
|---|---|---|
•A bio-inspired learning system for trajectory anomaly detection is proposed.•The method is tested on 2D object trajectories and 3D air signature verification.•An ELM-HTM fusion framework is used. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cogsys.2020.04.003 | Cognitive Systems Research |
Keywords | DocType | Volume |
Trajectory analysis,Anomaly detection,ELM,HTM,Bio-inspired learning | Journal | 63 |
ISSN | Citations | PageRank |
1389-0417 | 1 | 0.35 |
References | Authors | |
22 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sk. Arif Ahmed | 1 | 10 | 2.48 |
| Debi Prosad Dogra | 2 | 228 | 29.89 |
| Samarjit Kar | 3 | 608 | 63.41 |
| Partha Pratim Roy | 4 | 597 | 77.02 |
| Dilip K. Prasad | 5 | 162 | 21.84 |