Search Results for author:
Found 6 papers, 3 papers with code
Clustered Federated Learning based on Nonconvex Pairwise Fusion
We propose a clustered FL framework that incorporates a nonconvex penalty to pairwise differences of parameters.
Uncertainty Inspired Underwater Image Enhancement
After that, we adopt a consensus process to predict a deterministic result based on a set of samples from the distribution.
Self-Regression Learning for Blind Hyperspectral Image Fusion Without Label
However, in real applications, the observation model involved are often complicated and unknown, which leads to the serious performance drop of many advanced HIF methods.
Underwater Image Enhancement via Learning Water Type Desensitized Representations
Specifically, we apply whitening to de-correlate activations across spatial dimensions for each instance in a mini-batch.
Deep Blind Hyperspectral Image Fusion
Hyperspectral image fusion (HIF) reconstructs high spatial resolution hyperspectral images from low spatial resolution hyperspectral images and high spatial resolution multispectral images.
A New Anchor Word Selection Method for the Separable Topic Discovery
In this work, we propose a new method for the anchor word selection by associating the word co-occurrence probability with the words similarity and assuming that the most different words on semantic are potential candidates for the anchor words.
