Supervised Sparse Neighborhood Preserving Embedding Algorithm
Zhong Jin · Jisuanji gongcheng · 2011
In order to make full use of the classification information of samples,an Supervised Sparsity Neighborhood Preserving Embedding(SSNPE) algorithm is proposed.It combines the ideas of Sparse representation and NPE,so it can hold the strong discriminating power while preserving the intrinsic geometry relations of the local neighborhoods according to prior class-label information.Nearest neighborhood algorithm is used to construct classifiers,the proposed method is tested and evaluated in the Yale face database and AR face database.Experimental results show that SSNPE has good performance even if pose,illumination,face expression change.