40 citations · 157 across the 30 of their papers we have counts for
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cs.CV2017
Revisiting L21-norm Robustness with Vector Outlier Regularization
Bo Jiang, Chris Ding
In many real-world applications, data usually contain outliers. One popular approach is to use L2,1 norm function as a robust error/loss function. However, the robustness of L2,1 n…
cs.CV2017★ 10 cited
L1-norm Error Function Robustness and Outlier Regularization
Chris Ding, Bo Jiang
In many real-world applications, data come with corruptions, large errors or outliers. One popular approach is to use L1-norm function. However, the robustness of L1-norm function…
cs.CV2017
Multiple Images Recovery Using a Single Affine Transformation
Bo Jiang, Chris Ding, Bin Luo
In many real-world applications, image data often come with noises, corruptions or large errors. One approach to deal with noise image data is to use data recovery techniques which…