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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
de Almeida, A. (2015). Non-negative Matrix Factorization using posrank-based approximation decompositions. Proceedings of the EUROCOM 2015. 366-369
Exportar Referência (IEEE) 
A. M. Almeida,  "Non-negative Matrix Factorization using posrank-based approximation decompositions", in Proc. of the EUROCOM 2015, Salamanca, pp. 366-369, 2015
Exportar BibTeX 
@misc{almeida2015_1775674341426,
	author = "de Almeida, A.",
	title = "Non-negative Matrix Factorization using posrank-based approximation decompositions",
	year = "2015",
	howpublished = "Ambos (impresso e digital)",
	url = "http://ieeexplore.ieee.org/document/7313764/"
}
Exportar RIS 
TY  - CPAPER
TI  - Non-negative Matrix Factorization using posrank-based approximation decompositions
T2  - Proceedings of the EUROCOM 2015
AU  - de Almeida, A.
PY  - 2015
SP  - 366-369
CY  - Salamanca
UR  - http://ieeexplore.ieee.org/document/7313764/
AB  - The present work addresses a particular issue related
to the nonnegative factorisation of a matrix (NMF). When
NMF is formulated as a nonlinear programming optimisation problem some algebraic properties concerning the dimensionality of the factorisation arise as especially important for the numerical resolution. Its importance comes in the form of a guarantee to obtain good quality approximations to the solutions of signal processing image problems. The focus of this work lies in the importance of the rank of the factor matrices, especially in the so-called posrank of the factorisation. We report computational tests that favor the conclusion that the value of the posrank has an important impact on the quality of the images recovered from the decomposition.
ER  -