In this paper, a novel topology preserving non-negative matrix factorization (TPNMF) method is proposed for face recognition. We derive the TPNMF model from ...
Oct 22, 2024 · In this paper, a novel topology preserving non-negative matrix factorization (TPNMF) method is proposed for face recognition.
In this paper, a novel Topology Preserving Nonnegative Matrix Factorization (TPNMF) method is proposed for face recognition.
Experimental results on three different databases show that the proposed TPNMF approach provides a better representation of face patterns and achieves ...
Abstract—In this paper, a novel topology preserving non-neg- ative matrix factorization (TPNMF) method is proposed for face recognition.
Changing illumination causes severe problems for face recognition in uncontrolled environments. It might be helpful for illumination invariant face recognition ...
In this paper, a novel Topology Preserving Nonnegative Matrix Factorization (TPNMF) method is proposed for face recognition.
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Topology Preserving Non-negative Matrix Factorization for Face Recognition. Work. HTML. Year: 2008. Type: article. Source: IEEE Transactions on Image ...
Nov 4, 2015 · The NMF works by taking V, which is a matrix of face images (n resolution xm persons), and factorize V = WH, where we get r basis vectors.
Missing: Topology Preserving
Abstract— This work proposes a novel method of matrix factorization on the complex domain to obtain both intuitive features and high recognition results in ...