Neighborhood Discriminant Nearest Feature Line Analysis and Its Application to Face Recognition
Lijun Yan, Weimin Zheng, Shu‐Chuan Chu, John F. Roddick · 網際網路技術學刊 · 2013
In this paper, a novel subspace learning algorithm, called neighborhood discriminant nearest feature line analysis (NDNFLA), is proposed. NDNFLA aims to find the discriminant feature of samples by maximizing the between-class feature line (FL) scatter and minimizing the within-class FL scatter. At the same time, the neighborhood is preserved in the feature space. Experimental results demonstrate the efficiency of the proposed algorithm.