Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery

Xianbiao Shu, Fatih Porikli, Narendra Ahuja

Research output: Chapter in Book/Report/Conference proceedingChapter

Original languageEnglish (US)
Title of host publicationHandbook of Robust Low-Rank and Sparse Matrix Decomposition
Subtitle of host publicationApplications in Image and Video Processing
PublisherCRC Press
Pages12.1-12.14
ISBN (Electronic)9781498724630
ISBN (Print)9781498724623
StatePublished - Jul 6 2016

Fingerprint

Orthonormal
Recovery
Subspace
Learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)
  • Engineering(all)

Cite this

Shu, X., Porikli, F., & Ahuja, N. (2016). Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery. In Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing (pp. 12.1-12.14). CRC Press.

Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery. / Shu, Xianbiao; Porikli, Fatih; Ahuja, Narendra.

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing. CRC Press, 2016. p. 12.1-12.14.

Research output: Chapter in Book/Report/Conference proceedingChapter

Shu, X, Porikli, F & Ahuja, N 2016, Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery. in Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing. CRC Press, pp. 12.1-12.14.
Shu X, Porikli F, Ahuja N. Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery. In Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing. CRC Press. 2016. p. 12.1-12.14
Shu, Xianbiao ; Porikli, Fatih ; Ahuja, Narendra. / Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery. Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing. CRC Press, 2016. pp. 12.1-12.14
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