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Costa, J.A. and Hero, A.O. (2004) Manifold learning using k-nearest neighbor graphs [J]. Proc. of IEEE Int. Conf. on Acoust. Speech and Signal Processing. Mont-real, Canada.

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• TITLE: Face recognition based on manifold learning and Rényi entropy

  AUTHORS: Wen-Ming Cao, Ning Li

  KEYWORDS: Manifold Learning; Rényi Entropy; Face Recognition

  JOURNAL NAME: Natural Science, Vol.2 No.1, January 28, 2010

  ABSTRACT: Though manifold learning has been success-fully applied in wide areas, such as data visu-alization, dimension reduction and speech rec-ognition; few researches have been done with the combination of the information theory and the geometrical learning. In this paper, we carry out a bold exploration in this field, raise a new approach on face recognition, the intrinsic α-Rényi entropy of the face image attained from manifold learning is used as the characteristic measure during recognition. The new algorithm is tested on ORL face database, and the ex-periments obtain the satisfying results.