Skip to content

The code of ''Single Shot Active Learning using Pseudo Annotators"

License

Notifications You must be signed in to change notification settings

YazhouTUD/single_shot_AL

Repository files navigation

Single Shot Active Learning

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.

Installing

Download MVAL (https://github.com/YazhouTUD/MVAL) and add it to the search path of Matlab.

Usage

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]).

Reference

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}
    }

About

The code of ''Single Shot Active Learning using Pseudo Annotators"

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages