Active Learning with Ensembles for Image Classification
Abstract
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is required for verification. A novel solution is presented that makes use of active learning combined with an ensemble of classifiers for each class. The result is a significant reduction in required expert involvement for uncertain image region classification.
Cite
Text
Liu et al. "Active Learning with Ensembles for Image Classification." International Joint Conference on Artificial Intelligence, 2003. doi:10.1007/978-1-4684-3243-5_7Markdown
[Liu et al. "Active Learning with Ensembles for Image Classification." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/liu2003ijcai-active/) doi:10.1007/978-1-4684-3243-5_7BibTeX
@inproceedings{liu2003ijcai-active,
title = {{Active Learning with Ensembles for Image Classification}},
author = {Liu, Huan and Mandvikar, Amit and Foschi, Patricia G. and Torkkola, Kari},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2003},
pages = {1435-1436},
doi = {10.1007/978-1-4684-3243-5_7},
url = {https://mlanthology.org/ijcai/2003/liu2003ijcai-active/}
}