In addition, our approach with dynamic weighting scheme in combining uncertainty and density outperforms that with constant weighting scheme, which implies that it is beneficial to emphasize representative samples at initial iterations and gradually focus on difficult samples at later iterations.
the experimental results validate the effectiveness of our active learning algorithm.