2017
Robust linear discriminant analysis with a Laplacian assumption on projection distribution
ICASSP 2017accepted
Linear discriminant analysis (LDA) is typically carried out using Fisher's method, which relies heavily on the estimation of sample mean vectors and covariance matrices. However, Fisher LDA is vulnerable to outliers as it happens to other multivariate statistical methods. In this paper, we analyzed…