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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Handbook of Robust Low-Rank and Sparse Matrix Decomposition
Subtitle of host publication	Applications in Image and Video Processing
Publisher	CRC Press
Pages	12.1-12.14
ISBN (Electronic)	9781498724630
ISBN (Print)	9781498724623
Publication status	Published - 6 Jul 2016

Cite this

@inbook{a3faa4d579c342fab449479367be145b,

title = "Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery",

author = "Xianbiao Shu and Fatih Porikli and Narendra Ahuja",

year = "2016",

month = jul,

day = "6",

language = "English",

isbn = "9781498724623",

pages = "12.1--12.14",

booktitle = "Handbook of Robust Low-Rank and Sparse Matrix Decomposition",

publisher = "CRC Press",

address = "Netherlands",

}

TY - CHAP

T1 - Robust Orthonormal Subspace Learning (ROSL) for efficient low-rank recovery

AU - Shu, Xianbiao

AU - Porikli, Fatih

AU - Ahuja, Narendra

PY - 2016/7/6

Y1 - 2016/7/6

UR - https://www.scopus.com/pages/publications/85051829242

M3 - Chapter

SN - 9781498724623

SP - 12.1-12.14

BT - Handbook of Robust Low-Rank and Sparse Matrix Decomposition

PB - CRC Press

ER -