Sparse nonnegative matrix approximation: new formulations and algorithms

Tandon, R; Sra, S

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Sparse nonnegative matrix approximation: new formulations and algorithms

Tandon, R., & Sra, S.(2010). Sparse nonnegative matrix approximation: new formulations and algorithms (193).

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BE7E-9 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BE7F-7

Genre: Bericht

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Urheber:
Tandon, R¹, Autor
Sra, S¹, Autor

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795

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Zusammenfassung: We introduce several new formulations for sparse nonnegative matrix approximation. Subsequently, we solve these formulations by developing generic algorithms. Further, to help selecting a particular sparse formulation, we briefly discuss the interpretation of each formulation. Finally, preliminary experiments are presented to illustrate the behavior of our formulations and algorithms.