2022
A Planted Clique Perspective on Hypothesis Pruning
RA-L 2022
Hypothesis pruning is an important prerequisite while working with outlier-contaminated data in many computer vision problems. However, the underlying random data structures are barely explored in the literature, limiting designing efficient algorithms. To this end, we provide a novel graph-theoreti