Matrix sparsification and non-negative factorization for task partitioning in computational sensing and imaging. Stork, D. G., Rohani, N., & Katsaggelos, A. K. In Mahalanobis, A., Ashok, A., Tian, L., Petruccelli, J. C., & Kubala, K. S., editors, Computational Imaging II, volume 10222, pages 102220P, may, 2017.
Matrix sparsification and non-negative factorization for task partitioning in computational sensing and imaging [link]Paper  doi  bibtex   
@inproceedings{David2017,
author = {Stork, David G. and Rohani, Neda and Katsaggelos, Aggelos K.},
booktitle = {Computational Imaging II},
doi = {10.1117/12.2257670},
editor = {Mahalanobis, Abhijit and Ashok, Amit and Tian, Lei and Petruccelli, Jonathan C. and Kubala, Kenneth S.},
isbn = {9781510609457},
issn = {1996756X},
month = {may},
pages = {102220P},
title = {{Matrix sparsification and non-negative factorization for task partitioning in computational sensing and imaging}},
url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2257670},
volume = {10222},
year = {2017}
}

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