25 citations · 73 across the 14 of their papers we have counts for
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math.NA2021
Fast deterministic approximation of symmetric indefinite kernel matrices with high dimensional datasets
Difeng Cai, James Nagy, Yuanzhe Xi
Kernel methods are used frequently in various applications of machine learning. For large-scale high dimensional applications, the success of kernel methods hinges on the ability t…
math.NA2021★ 25 cited
Minimizing L1 over L2 norms on the gradient
Chao Wang, Min Tao, Chen-Nee Chuah +2
In this paper, we study the L1/L2 minimization on the gradient for imaging applications. Several recent works have demonstrated that L1/L2 is better than the L1 norm when approxima…