Application of Face Recognition with Embedding Method Based on Maximum Margin Criterion

Locally Linear Embedding(LLE)is an effective nonlinear dimensionality reduction method,which can maintain the same topology relation ship with the original space.However,it could not be widely applied in dimensionality reduction processing,visualization and classification.For these problems,a new dimensionality reduction and data classification method-embedding method based on maximum margin criterion(EM/MMC) is proposed in this paper.This algorithm gathers together the nearest samples as well as maximizes class intervals.The experiment of two widely used face databases(ORL and Yale) show that the proposed approach is effective and feasible.