Seungil Huh

Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph

When data have a complex manifold structure or the characteristics of data evolve over time, it is unrealistic to expect a graph-based semi-supervised learning method to achieve flawless classification given a small number of initial annotations. To address this issue with minimal human intervention…