Name
Title | ||
|---|---|---|
Boosting deep attribute learning via support vector regression for fast moving crowd counting |
Abstract | ||
|---|---|---|
•Spatial-temporal multi-feature is proposed by joining appearance and motion features;•Deep cumulated attribute learning architecture is proposed;•Boosting Deep Attribute Learning via Support Vector Regression algorithm is proposed based on late fusion strategy |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2017.12.002 | Pattern Recognition Letters |
Keywords | Field | DocType |
Deep learning,Boosting learning,Attribute learning,Fast moving crowd,Late fusion, | Attribute learning,Architecture,Pattern recognition,Support vector machine,Artificial intelligence,Boosting (machine learning),Crowd counting,Regression problems,Deep learning,Economic shortage,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
119 | 0167-8655 | 1 |
PageRank | References | Authors |
0.35 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinlei Wei | 1 | 1 | 0.35 |
| Junping Du | 2 | 789 | 91.80 |
| Meiyu Liang | 3 | 18 | 8.56 |
| Lingfei Ye | 4 | 1 | 1.02 |