Representative of L1/2 Regularization among Lq (0 < q ≤ 1) Regularizations: an Experimental Study Based on Phase Diagram
By Zongben Xu, Hao Guo, Yao Wang, Hai Zhang. 2012
100 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/1aa8a6889b73bc5487a40accc64cca1ea18ab0c2
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In Computational Mechanics
In Computer Vision and Pattern Recognition
Citations in the corpus
- Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization (2011, background): “The sparsity of the Lq(1/2 ≤ q < 1) solution increases as q decreases, whereas the sparsity of the solution for Lq(0 < q ≤ 1/2) shows little change with respect to q [45], [46], making q = 1/2 a good regularizer choice.”
- Minimization of ℓ1-2 for Compressed Sensing (2015, methodology): “thus proposed an iterative half thresholding algorithm [52, 53, 59] specifically for solving l1/2 regularization.”