Robust Regression
Robust Regression is a scholarly work, published in 2016 in ''IEEE Transactions on Pattern Analysis and Machine Intelligence''. The main subjects of the publication include pattern recognition, computer science, artificial intelligence, discriminative model, biological robustness, kernel, multicollinearity, linear discriminant analysis, compressed sensing, machine learning, support vector machine, facial recognition system, outlier, and computer vision. The paper develops the theory of robust regression (RR) and presents an effective convex approach that uses recent advances on rank minimization.