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On optimal low-rank approximation of non-negative matrices

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Author

Summary, in English

For low-rank Frobenius-norm approximations of matrices with non-negative entries, it is shown that the Lagrange dual is computable by semi-definite programming. Under certain assumptions the duality gap is zero. Even when the duality gap is non-zero, several new insights are provided.

Publishing year

2015

Language

English

Pages

5278-5283

Publication/Series

2015 IEEE 54th Annual Conference on Decision and Control (CDC)

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Keywords

  • Computational modeling
  • Conferences
  • Context
  • Convex functions
  • Image analysis
  • Programming
  • Standards

Conference name

54th IEEE Conference on Decision and Control, CDC 2015

Conference date

2015-12-15 - 2015-12-18

Conference place

Osaka, Japan

Status

Published

ISBN/ISSN/Other

  • ISBN: 978-1-4799-7886-1