Active learning combining uncertainty and diversity for multi‐class image classification
In computer vision and pattern recognition applications, there are usually a vast number of unlabelled data whereas the labelled data are very limited. Active learning is a kind of method that selects the most representative or informative examples for labelling and training; thus, the best predicti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-06-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2014.0140 |