Genetic prediction of common diseases is based on testing multiple genetic variants with weak effect sizes. Standard logistic regression and Cox Proportional Hazard models that assess the combined ...

Abstract: This paper presents a single multiplicative neuron model based on a polynomial architecture. The proposed neuron model consists of a non-linear aggregation function based on the concept of ...

Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of models is too restrictive on the regression relation, which may lead to a ...

[1] Xi-Le Zhao, Fan Wang, and Michael KwokPo Ng, A New Convex Optimization Model for Multiplicative Noise and Blur Removal. Please cite the paper listed in the following BibTex if you use any part of ...

The problem of multiplicative noise removal has been widely studied in recent years. Many methods have been used to remove it, but the final results are not very excellent. The total variation ...

Image restoration, particularly deblurring and denoising, remains a critical challenge in com- puter vision. This paper presents the Patch Diffusion Inverse Solver for Multiplicative Noise (PaDIS-MN), ...