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Abstract: In this paper, a novel Topology Preserving Nonnegative Matrix Factorization (TPNMF) method is proposed for face recognition.
In this paper, a novel topology preserving non-negative matrix factorization (TPNMF) method is proposed for face recognition. We derive the TPNMF model from ...
PDF | In this paper, a novel topology preserving non-negative matrix factorization (TPNMF) method is proposed for face recognition. We derive the TPNMF.
Experimental results on three different databases show that the proposed TPNMF approach provides a better representation of face patterns and achieves ...
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Abstract— This work proposes a novel method of matrix factorization on the complex domain to obtain both intuitive features and high recognition results in ...
In this paper, a novel topology preserving non-negative matrix factorization (TPNMF) method is proposed for face recognition. We derive the TPNMF model from ...
ABSTRACT. Changing illumination causes severe problems for face recognition in uncontrolled environments. It might be helpful for illumination invariant ...
Topology Preserving Non-negative Matrix Factorization for Face Recognition. Author: TAIPING ZHANG1 ; BIN FANG1 ; YUAN YAN TANG1 ; GUANGHUI HE1 ; JING WEN1
In this paper, a novel sparse neighborhood preserving non-negative tensor factorization (SNPNTF) algorithm is proposed for facial expression recognition. It ...
Nonnegative matrix factorization (NMF) is a promising method to represent facial images using nonnegative features under a low-rank nonnegative basis-image ...