Local Kernels That Approximate Bayesian Regularization and Proximal Operators
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2893071
Abstract: In this paper, we broadly connect kernel-based filtering (e.g., approaches such as the bilateral filter and non-local means, but also many more) with general variational formulations of Bayesian regularized least squares and the related concept… read more here.
Keywords: proximal; kernels approximate; proximal operators; local kernels ... See more keywords
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3014104
Abstract: Multiple kernel clustering (MKC) algorithm aims to group data into different categories by optimally integrating information from a group of pre-specified kernels. Though demonstrating superiorities in various applications, we observe that existing MKC algorithms usually… read more here.
Keywords: optimal neighborhood; adaptive local; multiple kernel; kernel clustering ... See more keywords