Name
Title | ||
|---|---|---|
Interactive localized content based image retrieval with multiple-instance active learning |
Abstract | ||
|---|---|---|
In this paper, we propose two general multiple-instance active learning (MIAL) methods, multiple-instance active learning with a simple margin strategy (S-MIAL) and multiple-instance active learning with fisher information (F-MIAL), and apply them to the active learning in localized content based image retrieval (LCBIR). S-MIAL considers the most ambiguous picture as the most valuable one, while F-MIAL utilizes the fisher information and analyzes the value of the unlabeled pictures by assigning different labels to them. In experiments, we will show their superior performances in LCBIR tasks. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.patcog.2009.03.002 | Pattern Recognition |
Keywords | Field | DocType |
interactive localized content,simple margin strategy,fisher information,active learning,lcbir task,image retrieval,general multiple-instance active learning,localized content,multiple-instance active learning,different label,ambiguous picture | Active learning,Semi-supervised learning,Active learning (machine learning),Computer science,Image retrieval,Content based retrieval,Artificial intelligence,Fisher information,Machine learning,Content-based image retrieval | Journal |
Volume | Issue | ISSN |
43 | 2 | Pattern Recognition |
Citations | PageRank | References |
30 | 0.96 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dan Zhang | 1 | 461 | 22.17 |
| Fei Wang | 2 | 151 | 8.05 |
| Zhenwei Shi | 3 | 559 | 63.11 |
| Changshui Zhang | 4 | 5506 | 323.40 |