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Nonnegative matrix factorization (NMF) is an unsupervised method whose aim is to find an approximate factorization Vn*m = Wn*r*Hr*m into non-negative matrices Wn*r and Hr*m. This paper presents an extension to NMF and discusses the development and the use of damped Newton based the non-negative matrix factorization called DNNMF with good convergence properties for wood image representation by adding...
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