Robust Deep Graph Based Learning for Binary Classification

no code implementations • 6 Dec 2019 • Minxiang Ye, Vladimir Stankovic, Lina Stankovic, Gene Cheung

In this paper, we propose a robust binary classifier, based on CNNs, to learn deep metric functions, which are then used to construct an optimal underlying graph structure used to clean noisy labels via graph Laplacian regularization (GLR).

Binary Classification Classification +1