Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis

Nonnegative matrix factorization (NMF) approximates a given data matrix as a product of two low-rank nonnegative matrices, usually by minimizing the L 2 or the KL distance between the data matrix and the matrix product. This factorization was shown to be useful for several important computer vision...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2011-08, Vol.33 (8), p.1590-1602
Hauptverfasser:	Sandler, R, Lindenbaum, M
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Approximation algorithms Artificial intelligence Computer science control theory systems Earth earth mover's distance Exact sciences and technology Factorization Histograms Image segmentation Linear programming Mathematical analysis Mathematical models Matrices Matrix methods Measurement Nonnegative matrix factorization Pattern recognition. Digital image processing. Computational geometry Pixel Studies Texture
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