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math.NA2023
A Randomized Block Krylov Method for Tensor Train Approximation
Gaohang Yu, Jinhong Feng, Zhongming Chen +2
Tensor train decomposition is a powerful tool for dealing with high-dimensional, large-scale tensor data, which is not suffering from the curse of dimensionality. To accelerate the…
math.NA2018
Linkage between piecewise constant Mumford-Shah model and ROF model and its virtue in image segmentation
Xiaohao Cai, Raymond Chan, Carola-Bibiane Schonlieb +2
The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fatemi (ROF) model are two important variational models in image segmentation and image restoration, respective…