3 papers
math.OC2024
An adaptive weighted self-representation method for incomplete multi-view clustering
Lishan Feng, Guoxu Zhou, Jingya Chang
For multi-view data in reality, part of its elements may be missing because of human or machine error. Incomplete multi-view clustering (IMC) clusters the incomplete multi-view dat…
math.OC2024
Weighted structure tensor total variation for image denoising
Xiuhan Sheng, Lijuan Yang, Jingya Chang
For image denoising problems, the structure tensor total variation (STV)-based models show good performances when compared with other competing regularization approaches. However,…
math.OC2024
Hyperspectral super-resolution via low rank tensor triple decomposition
Xiaofei Cui, Jingya Chang
Hyperspectral image (HSI) and multispectral image (MSI) fusion aims at producing a super-resolution image (SRI). In this paper, we establish a nonconvex optimization model for imag…