Face Classification via a Novel Two-Dimensional Extreme Learning Machine

Abstract

Abstract. Because of face images are naturally two-dimensional data, there have been several 2D feature extraction methods to deal with facial images while there are few 2D effective classifiers. In this work, by using a linear tensor projection, a new two-dimensional classifier based on extreme learning machine is introduced. Due to the proposed algorithm can classify matrix data directly without vectorizing them, the intrinsic structure information of the input data can be reserved. It is demonstrated that the proposed 2D-ELM achieves better recognition performance.