Matlab code of ''Single Shot Active Learning using Pseudo Annotators"
Reference: Yang, Yazhou, and Marco Loog. "Single shot active learning using pseudo annotators." Pattern Recognition 89 (2019): 22-31.
Download MVAL (https://github.com/YazhouTUD/MVAL) and add it to the search path of Matlab.
Just run "Main.m" to see how it works.
Choose "choice" from {1,2,3} depending on the used active learning algorithms:
choice: choose the active learning algorithms
1 -- Random sampling.
2 -- ALRL_MaxE: our method with MaxE.
3 -- ALRL_MVAL: our method with MVAL.
If you have any questions, please feel free to connect with me ([email protected]).
If you are using this code, please cite the following reference:
Bibtex:
@article{yang2018singleshot,
title={Single Shot Active Learning using Pseudo Annotators},
author={Yang, Yazhou and Loog, Marco},
journal={Pattern Recognition},
volume={89},
number={C},
pages={22--31},
year={2019},
publisher={Elsevier}
}