Ranking Features to Promote Diversity: an Approach Based on Sparse Distance Correlation

Technometrics ◽  
2021 ◽  
pp. 1-21
Author(s):  
Andi Wang ◽  
Juan Du ◽  
Xi Zhang ◽  
Jianjun Shi
Keyword(s):  
Distance Correlation

scholarly journals Paperboard Coating Detection Based on Full-Stokes Imaging Polarimetry

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 208
Author(s):  
Javier Brugés Martelo ◽  
Jan Lundgren ◽  
Mattias Andersson
Keyword(s):  
Food Packaging ◽  
Imaging Systems ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Camera System ◽  
Distance Correlation ◽  
Imaging Polarimetry ◽  
Packaging Industry ◽  
Thickness Variations

The manufacturing of high-quality extruded low-density polyethylene (PE) paperboard intended for the food packaging industry relies on manual, intrusive, and destructive off-line inspection by the process operators to assess the overall quality and functionality of the product. Defects such as cracks, pinholes, and local thickness variations in the coating can occur at any location in the reel, affecting the sealable property of the product. To detect these defects locally, imaging systems must discriminate between the substrate and the coating. We propose an active full-Stokes imaging polarimetry for the classification of the PE-coated paperboard and its substrate (before applying the PE coating) from industrially manufactured samples. The optical system is based on vertically polarized illumination and a novel full-Stokes imaging polarimetry camera system. From the various parameters obtained by polarimetry measurements, we propose implementing feature selection based on the distance correlation statistical method and, subsequently, the implementation of a support vector machine algorithm that uses a nonlinear Gaussian kernel function. Our implementation achieves 99.74% classification accuracy. An imaging polarimetry system with high spatial resolution and pixel-wise metrological characteristics to provide polarization information, capable of material classification, can be used for in-process control of manufacturing coated paperboard.

scholarly journals Prediction of microRNA-disease associations based on distance correlation set

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Haochen Zhao ◽  
Linai Kuang ◽  
Lei Wang ◽  
Pengyao Ping ◽  
Zhanwei Xuan ◽  
...  
Keyword(s):  
Distance Correlation ◽  
Disease Associations

scholarly journals Fitness Distance Correlation in Structural Mutation Genetic Programming

2003 ◽  
pp. 455-464 ◽  
Author(s):  
Leonardo Vanneschi ◽  
Marco Tomassini ◽  
Philippe Collard ◽  
Manuel Clergue
Keyword(s):  
Genetic Programming ◽  
Distance Correlation ◽  
Structural Mutation ◽  
Fitness Distance Correlation

scholarly journals Evolving Solutions to Community-Structured Satisfiability Formulas

2019 ◽  
Vol 33 ◽  
pp. 2346-2353
Author(s):  
Frank Neumann ◽  
Andrew M. Sutton
Keyword(s):  
Community Structure ◽  
Evolutionary Algorithms ◽  
Objective Function ◽  
Search Space ◽  
Propositional Satisfiability ◽  
Satisfying Assignment ◽  
Distance Correlation ◽  
Strong Signal ◽  
Fitness Distance Correlation ◽  
Correlation Properties

We study the ability of a simple mutation-only evolutionary algorithm to solve propositional satisfiability formulas with inherent community structure. We show that the community structure translates to good fitness-distance correlation properties, which implies that the objective function provides a strong signal in the search space for evolutionary algorithms to locate a satisfying assignment efficiently. We prove that when the formula clusters into communities of size s ∈ ω(logn) ∩O(nε/(2ε+2)) for some constant 0

scholarly journals A fast automatic identification method for seismic belts based on distance correlation and its earthquake case

2020 ◽  
Vol 33 (3) ◽  
pp. 153-158
Author(s):  
Wei Yan ◽  
◽  
Xueze Wen ◽  
Changrong He ◽  
Guiping Liu ◽  
...  
Keyword(s):  
Automatic Identification ◽  
Distance Correlation ◽  
Identification Method
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