Novel batch active learning approach and its application to synthetic aperture radar datasets
The paper introduces a two-stage strategy for making batch active learning nearly as accurate as sequential querying while substantially reducing the number of classifier updates. Dijkstra’s Annulus Core-Set (DAC) first constructs a representative candidate set; LocalMax then selects a diverse batch by enforcing local maxima of the acquisition function on the data graph.
Jun 13, 2023
