Parameter selection for nonnegative l1 matrix/tensor sparse decomposition
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Authors
Wang, Y.
Liu, Wan-Quan
Caccetta, Louis
Zhou, Guanglu
Date
2015Type
Journal Article
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Wang, Y. and Liu, W. and Caccetta, L. and Zhou, G. 2015. Parameter selection for nonnegative l1 matrix/tensor sparse decomposition. Operations Research Letters. 43: pp. 423-426.
Source Title
Operations Research Letters
ISSN
School
Department of Computing
Collection
Abstract
For the nonnegative l1 matrix/tensor sparse decomposition problem, we derive a threshold bound for the parameters beyond which all the decomposition factors are zero. The obtained result provides a guideline on selection for l1 regularization parameters and extends the corresponding result on Lasso optimization problem.
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