2019
DOI: 10.1109/tap.2019.2911645
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A Statistical Parsimony Method for Uncertainty Quantification of FDTD Computation Based on the PCA and Ridge Regression

Abstract: The non-intrusive polynomial chaos (NIPC) expansion method is one of the most frequently used methods for uncertainty quantification (UQ) due to its high computational efficiency and accuracy. However, the number of polynomial bases is known to substantially grow as the number of random parameters increases, leading to excessive computational cost. Various sparse schemes such as the least angle regression method have been utilised to alleviate such a problem. Nevertheless, the computational cost associated wit… Show more

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Cited by 19 publications
(1 citation statement)
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“…Different from these methods, we provide a new perspective to prune redundant representations in instance segmentation. Inspired by [45,40,21,20], we design a straightforward one-to-one assignment to dynamically assign one unique representation to one instance without post-processing. Besides, we design a novel prediction re-ranking strategy to help produce the most discriminative prediction.…”
Section: Label Assignmentmentioning
confidence: 99%
“…Different from these methods, we provide a new perspective to prune redundant representations in instance segmentation. Inspired by [45,40,21,20], we design a straightforward one-to-one assignment to dynamically assign one unique representation to one instance without post-processing. Besides, we design a novel prediction re-ranking strategy to help produce the most discriminative prediction.…”
Section: Label Assignmentmentioning
confidence: 99%