Name
Title | ||
|---|---|---|
Boosting-based transfer learning for multi-view head-pose classification from surveillance videos. |
Abstract | ||
|---|---|---|
This work proposes a boosting-based transfer learning approach for head-pose classification from multiple, low-resolution views. Head-pose classification performance is adversely affected when the source (training) and target (test) data arise from different distributions (due to change in face appearance, lighting, etc). Under such conditions, we employ Xferboost, a Logitboost-based transfer learning framework that integrates knowledge from a few labeled target samples with the source model to effectively minimize misclassifications on the target data. Experiments confirm that the Xferboost framework can improve classification performance by up to 6%, when knowledge is transferred between the CLEAR and FBK four-view headpose datasets. |
Year | Venue | Keywords |
|---|---|---|
2012 | European Signal Processing Conference | Multi-view headpose classification,low-resolution,Xferboost,boosting-based transfer learning |
Field | DocType | ISSN |
Pattern recognition,Computer science,Transfer of learning,Pose,Source model,Boosting (machine learning),LogitBoost,Artificial intelligence,Machine learning | Conference | 2076-1465 |
Citations | PageRank | References |
1 | 0.35 | 2 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Radu L. Vieriu | 1 | 62 | 3.11 |
| Anoop Kolar Rajagopal | 2 | 30 | 3.06 |
| Subramanian Ramanathan | 3 | 487 | 60.35 |
| Oswald Lanz | 4 | 462 | 33.34 |
| Elisa Ricci 0002 | 5 | 1393 | 73.75 |
| Nicu Sebe | 6 | 7013 | 403.03 |
| Kalpathi Ramakrishnan | 7 | 30 | 2.05 |