Sharpening Mixture of Experts Fusion of Infrared and Visible Images for Night Perception Enhancement

2021 ◽  
Author(s):  
Pai Peng ◽  
Keke Geng ◽  
Shangjie Li ◽  
Ziwei Wang ◽  
Min Qian ◽  
...  
Keyword(s):  
Mixture Of Experts ◽  
Visible Images

Corresponding Feature Extraction Algorithm between Infrared and Visible Images Using MSER

2011 ◽  
Vol 33 (7) ◽  
pp. 1625-1631 ◽  
Author(s):  
Lin Lian ◽  
Guo-hui Li ◽  
Hai-tao Wang ◽  
hao Tian ◽  
Shu-kui Xu
Keyword(s):  
Feature Extraction ◽  
Feature Extraction Algorithm ◽  
Extraction Algorithm ◽  
Visible Images

LRMoE: An R Package for Flexible Actuarial Loss Modelling Using Mixture of Experts Regression Model

2020 ◽  
Author(s):  
Spark C. Tseung ◽  
Andrei Badescu ◽  
Tsz Chai Fung ◽  
Xiaodong Sheldon Lin
Keyword(s):  
Regression Model ◽  
R Package ◽  
Mixture Of Experts ◽  
Loss Modelling

scholarly journals Why and how the brain weights contributions from a mixture of experts

2021 ◽  
Vol 123 ◽  
pp. 14-23
Author(s):  
John P. O’Doherty ◽  
Sang Wan Lee ◽  
Reza Tadayonnejad ◽  
Jeff Cockburn ◽  
Kyo Iigaya ◽  
...  
Keyword(s):  
Mixture Of Experts ◽  
The Brain

scholarly journals Channel Gain Cartography via Mixture of Experts

2020 ◽  
Author(s):  
Luis M. Lopez-Ramos ◽  
Yves Teganya ◽  
Baltasar Beferull-Lozano ◽  
Seung-Jun Kim
Keyword(s):  
Channel Gain ◽  
Mixture Of Experts

mvClaim : an R package for multivariate general insurance claims severity modelling

2021 ◽  
pp. 1-17
Author(s):  
Sen Hu ◽  
T. Brendan Murphy ◽  
Adrian O’Hagan
Keyword(s):  
R Package ◽  
Finite Mixture ◽  
Current Version ◽  
Mixture Of Experts ◽  
Insurance Claim ◽  
General Insurance ◽  
Gamma Distributions ◽  
Approach Theory ◽  
Modelling Approach ◽  
Model Family

Abstract The mvClaim package in R provides flexible modelling frameworks for multivariate insurance claim severity modelling. The current version of the package implements a parsimonious mixture of experts (MoE) model family with bivariate gamma distributions, as introduced in Hu et al., and a finite mixture of copula regressions within the MoE framework as in Hu & O’Hagan. This paper presents the modelling approach theory briefly and the usage of the models in the package in detail. This package is hosted on GitHub at https://github.com/senhu/.

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