Name
Abstract | ||
|---|---|---|
•Neural networks trained using ranking-like loss function performs multiple instance learning.•Proposed method shows good generalization performance even for small training sets.•Proposed loss can be used with any architecture of choice without addition of any specialized layers or connections. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2019.10.022 | Pattern Recognition Letters |
Keywords | Field | DocType |
Machine Learning,Classification,Multiple Instance Learning,Neural Networks | MNIST database,Ranking,Pattern recognition,Convolutional neural network,Image processing,Artificial intelligence,Artificial neural network,Machine learning,Python (programming language),Mathematics | Journal |
Volume | ISSN | Citations |
128 | 0167-8655 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amina Asif | 1 | 5 | 5.51 |
| Fayyaz ul Amir Afsar Minhas | 2 | 27 | 9.37 |