Empirical Inference Technical Report 2010

Sparse nonnegative matrix approximation: new formulations and algorithms

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Empirical Inference
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Empirical Inference

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.

Author(s): Tandon, R. and Sra, S.
Number (issue): 193
Year: 2010
Month: September
Day: 0
Bibtex Type: Technical Report (techreport)
Digital: 0
Electronic Archiving: grant_archive
Institution: Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik
Links:

BibTex

@techreport{6764,
  title = {Sparse nonnegative matrix approximation: new formulations and algorithms},
  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.},
  number = {193},
  organization = {Max-Planck-Gesellschaft},
  institution = {Max Planck Institute for Biological Cybernetics, Tübingen, Germany},
  school = {Biologische Kybernetik},
  month = sep,
  year = {2010},
  slug = {6764},
  author = {Tandon, R. and Sra, S.},
  month_numeric = {9}
}