ParK: An efficient algorithm for k-core decomposition on multicore processors
Publisher:
Year
: 2014DOI: 10.1109/ICC.2014.6883593
Keyword(s): image classification,n intelligent transportation systems,n learning (artificial intelligence),n object detection,n support vector machines,n HOG-SVM classifier,n LBP-Adaboost algorithm,n ROI,n animal detection system,n animal-vehicle collisions,n cascaded classifiers,n detection accuracy,n detection speed,n smart cars,n two-stage strategy system,n Animals,n Computer architecture,n Feature extraction,n Support vector machines,n Training
Collections
:
-
Statistics
ParK: An efficient algorithm for k-core decomposition on multicore processors
Show full item record
| contributor author | Dasari, Naga Shailaja | |
| contributor author | Desh, Ranjan | |
| contributor author | Zubair, M. | |
| date accessioned | 2020-03-12T22:21:12Z | |
| date available | 2020-03-12T22:21:12Z | |
| date issued | 2014 | |
| identifier other | 7004366.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1080055 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | ParK: An efficient algorithm for k-core decomposition on multicore processors | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8216429 | |
| subject keywords | image classification | |
| subject keywords | n intelligent transportation systems | |
| subject keywords | n learning (artificial intelligence) | |
| subject keywords | n object detection | |
| subject keywords | n support vector machines | |
| subject keywords | n HOG-SVM classifier | |
| subject keywords | n LBP-Adaboost algorithm | |
| subject keywords | n ROI | |
| subject keywords | n animal detection system | |
| subject keywords | n animal-vehicle collisions | |
| subject keywords | n cascaded classifiers | |
| subject keywords | n detection accuracy | |
| subject keywords | n detection speed | |
| subject keywords | n smart cars | |
| subject keywords | n two-stage strategy system | |
| subject keywords | n Animals | |
| subject keywords | n Computer architecture | |
| subject keywords | n Feature extraction | |
| subject keywords | n Support vector machines | |
| subject keywords | n Training | |
| identifier doi | 10.1109/ICC.2014.6883593 | |
| journal title | ig Data (Big Data), 2014 IEEE International Conference on | |
| filesize | 1179465 | |
| citations | 0 |