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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). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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MPIK-TR-193_[0].pdf (Publisher version), 734KB
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Tandon, R1, 2, Author              
Sra, S1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: 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.

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 Dates: 2010-09
 Publication Status: Published in print
 Pages: 19
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
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 Rev. Type: -
 Identifiers: Report Nr.: 193
BibTex Citekey: 6764
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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
Source Genre: Series
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Pages: - Volume / Issue: 193 Sequence Number: - Start / End Page: - Identifier: -