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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…
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…
math.OC2023
Iterative Singular Tube Hard Thresholding Algorithms for Tensor Recovery
Rachel Grotheer, Shuang Li, Anna Ma +2
Due to the explosive growth of large-scale data sets, tensors have been a vital tool to analyze and process high-dimensional data. Different from the matrix case, tensor decomposit…