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Computer Science ›› 2015, Vol. 42 ›› Issue (5): 94-97.doi: 10.11896/j.issn.1002-137X.2015.05.019

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Label Information-based Neighborhood Preserving Embedding

BAO Xing, ZHANG Li, ZHAO Meng-meng and YANG Ji-wen   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Neighborhood preserving embedding (NPE) is widely used for finding the intrinsic dimensionality of the data with high dimension.In order to make full use of the classification information of samples to get optimal features,we constructed an adjacent matrix which can separate different sub-manifolds as far as possible without destroying local geo-metry structure of the original data.By introducing the adjacent matrix,this paper proposed label information-based neighborhood preserving embedding (LINPE).Experiments on UCI data and ORL face databases were performed to test and evaluate LINPE.Experimental results demonstrate the effectiveness of LINPE.

Key words: Dimension reduction,Adjacent matrix,Label information,Face recognition

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