Articles with "threshold selection" as a keyword



Photo from wikipedia

An empirical threshold of selection probability for analysis of high-dimensional correlated data

Sign Up to like & get
recommendations!
Published in 2020 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2020.1739286

Abstract: For the analysis of high-dimensional data, regularization methods based on penalized likelihood have been extensively studied over the last few decades. But, they commonly require the optimal choice of tuning parameters to select relevant variables.… read more here.

Keywords: high dimensional; analysis; selection; threshold selection ... See more keywords
Photo by trude_jonsson_stangel from unsplash

A Novel Practical Decisive Row-Class Entropy-Based Technique for Multilevel Threshold Selection Using Opposition Flow Directional Algorithm

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3215082

Abstract: One of today’s inspiring issues is the 2D histogram-based multilevel threshold selection which is used for segmenting images into several regions. The image analysis warrants exploration of multiclass thresholding techniques using various entropy-based objective functions.… read more here.

Keywords: multilevel threshold; practical decisive; entropy based; novel practical ... See more keywords
Photo from wikipedia

Threshold selection for covariance estimation.

Sign Up to like & get
recommendations!
Published in 2019 at "Biometrics"

DOI: 10.1111/biom.13048

Abstract: Thresholding is a regularization method commonly used for covariance estimation, which provides consistent estimators if the population covariance satisfies certain sparsity condition (Bickel and Levina, 2008a; Cai and Liu, 2011). However, the performance of the… read more here.

Keywords: threshold level; covariance estimation; selection covariance; threshold selection ... See more keywords

Extrapolation of Tractor Traction Resistance Load Spectrum and Compilation of Loading Spectrum Based on Optimal Threshold Selection Using a Genetic Algorithm

Sign Up to like & get
recommendations!
Published in 2023 at "Agriculture"

DOI: 10.3390/agriculture13061133

Abstract: To obtain the load spectrum of the traction resistance of the three-point suspension device under tractor-plowing conditions, a load spectrum extrapolation method based on a genetic algorithm optimal threshold selection is proposed. This article first… read more here.

Keywords: load spectrum; genetic algorithm; extrapolation; spectrum ... See more keywords