most citedKernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

Deep Inertia Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction

Yu Guo, Caiying Wu, Yaxin Li +2

Sparse view computed tomography (CT) reconstruction poses a challenging ill-posed inverse problem, necessitating effective regularization techniques. In this letter, we employ $L_p…

cs.LG2024★ 8 cited

Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering

Rina Su, Yu Guo, Caiying Wu +2

The main objective of the Multiple Kernel k-Means (MKKM) algorithm is to extract non-linear information and achieve optimal clustering by optimizing base kernel matrices. Current m…