2 papers
cs.CV2023
Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms
Tingyu Zhao, Bo Peng, Yuan Sun +3
Recently, advancements in deep learning-based superpixel segmentation methods have brought about improvements in both the efficiency and the performance of segmentation. However, a…
cs.LG2022
Cost-aware Generalized -investing for Multiple Hypothesis Testing
Thomas Cook, Harsh Vardhan Dubey, Ji Ah Lee +3
We consider the problem of sequential multiple hypothesis testing with nontrivial data collection costs. This problem appears, for example, when conducting biological experiments t…