On the Complexity of Sparse Label Propagation
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Author
Date
2018-07-10
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Language
en
Pages
1-7
Series
Frontiers in Applied Mathematics and Statistics, Volume 4
Abstract
This paper investigates the computational complexity of sparse label propagation which has been proposed recently for processing network structured data. Sparse label propagation amounts to a convex optimization problem and might be considered as an extension of basis pursuit from sparse vectors to network structured datasets. Using a standard first-order oracle model, we characterize the number of iterations for sparse label propagation to achieve a prescribed accuracy. In particular, we derive an upper bound on the number of iterations required to achieve a certain accuracy and show that this upper bound is sharp for datasets having a chain structure (e.g., time series).Description
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Citation
Jung , A 2018 , ' On the Complexity of Sparse Label Propagation ' , Frontiers in Applied Mathematics and Statistics , vol. 4 , 22 , pp. 1-7 . https://doi.org/10.3389/fams.2018.00022
