Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction

no code implementations • 13 Mar 2021 • Hao-Chiang Shao, Hsin-Chieh Wang, Weng-Tai Su, Chia-Wen Lin

Here we focus on the problem that noisy labels are primarily mislabeled samples, which tend to be concentrated near decision boundaries, rather than uniformly distributed, and whose features should be equivocal.

Ensemble Learning