2015
A Randomized Ensemble Approach to Industrial CT Segmentation
ICCV 2015poster
Tuning the models and parameters of common segmentation approaches is challenging especially in the presence of noise and artifacts. Ensemble-based techniques attempt to compensate by randomly varying models and/or parameters to create a diverse set of hypotheses, which are subsequently ranked to ar…