1 citations · 1 across the 1 of their papers we have counts for
3 papers
math.OC2024
Power of -Norm Regularized Kaczmarz Algorithms for High-Order Tensor Recovery
Katherine Henneberger, Jing Qin
Tensors serve as a crucial tool in the representation and analysis of complex, multi-dimensional data. As data volumes continue to expand, there is an increasing demand for develop…
cs.CV2024★ 1 cited
Hyperspectral Band Selection based on Generalized 3DTV and Tensor CUR Decomposition
Katherine Henneberger, Jing Qin
Hyperspectral Imaging (HSI) serves as an important technique in remote sensing. However, high dimensionality and data volume typically pose significant computational challenges. Ba…
math.OC2023
Log-Sum Regularized Kaczmarz Algorithms for High-Order Tensor Recovery
Katherine Henneberger, Jing Qin
Sparse and low rank tensor recovery has emerged as a significant area of research with applications in many fields such as computer vision. However, minimizing the -norm of…