This repository accompanies the paper:
"Robust domain-adaptive discriminant analysis"
published in Pattern Recognition Letters, vol. 248, pp 107-113, 2021 (doi).
Download:
- Junfeng Wens's Robust Covariate Shift Adjustment: https://webdocs.cs.ualberta.ca/~jwen4/codes/RobustLearning.zip
- Mark Schmidt's minFunc: http://www.cs.ubc.ca/~schmidtm/Software/minFunc.html
Add the unzipped folders to your path.
Each folder marked experiment*, contains a script starting with run_exp*. It calls a function that contains experimental parameters, such as which classifiers to test, and runs the experiment. Results will be stored in a new folder. These can be gathered and printed by using the function gather_exp*.
Questions, bugs, and general feedback can be submitted to the issues tracker.