Name
Abstract | ||
|---|---|---|
Multiview action recognition has received increasing attention over the past decade. Various approaches have been proposed to extract view-invariant features; among them, self-similarity matrices (SSMs) have shown outstanding performance. However, SSMs become sensitive when there's a very large view change. To make SSMs more robust to viewpoint changes, the authors propose a collaborative sparse c... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MMUL.2016.69 | IEEE MultiMedia |
Keywords | Field | DocType |
Encoding,Videos,Mathematical model,Collaboration,Dictionaries,Feature extraction,Robustness | Collaborative filtering,Pattern recognition,Computer science,Neural coding,Matrix (mathematics),Action recognition,Artificial intelligence,Classifier (linguistics),Multimedia,Discriminative model,Machine learning | Journal |
Volume | Issue | ISSN |
23 | 4 | 1070-986X |
Citations | PageRank | References |
27 | 0.62 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Wang | 1 | 131 | 14.16 |
| Yan Yan | 2 | 784 | 38.14 |
| Luming Zhang | 3 | 1126 | 60.35 |
| Richang Hong | 4 | 4791 | 176.47 |
| Nicu Sebe | 5 | 7013 | 403.03 |