F $F$ ‐norm two‐dimensional linear discriminant analysis and its application on face recognition
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22941
Abstract: Two‐dimensional linear discriminant analysis (2DLDA) is a widely applied extension of LDA that can cope with matrix input samples directly. However, its construction is based on a squared F $F$ ‐norm which will lead to… read more here.
Keywords: two dimensional; discriminant analysis; face; linear discriminant ... See more keywords
Two-dimensional linear models of multilayered anisotropic plates
Sign Up to like & getrecommendations! Published in 2019 at "Acta Mechanica"
DOI: 10.1007/s00707-019-02405-y
Abstract: A two-dimensional model describing the multilayered anisotropic plate deformations is proposed. The plate is assumed to consist of some orthotropic layers with arbitrary orientation of axes relative to the plate frame. The studied multilayered plate… read more here.
Keywords: models multilayered; linear models; plate; dimensional linear ... See more keywords
An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regression
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-03323-7
Abstract: High-dimensional linear regression model is the most popular statistical model for high-dimensional data, but it is quite a challenging task to achieve a sparse set of regression coefficients. In this paper, we propose a simple… read more here.
Keywords: dimensional linear; solution; linear regression; sparse ... See more keywords
Three-Dimensional Linear Viscoelastic Properties of Two Bituminous Mixtures Made with the Same Binder
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Materials in Civil Engineering"
DOI: 10.1061/(asce)mt.1943-5533.0002515
Abstract: AbstractEiffage developed a high-performance bituminous mixture known as GB5. It is based on aggregate optimization method. This paper presents the results of a research project checking whether, i... read more here.
Keywords: three dimensional; linear viscoelastic; two bituminous; viscoelastic properties ... See more keywords
The likelihood ratio test for high-dimensional linear regression model
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1183785
Abstract: ABSTRACT The paper considers a significance test of regression variables in the high-dimensional linear regression model when the dimension of the regression variables p, together with the sample size n, tends to infinity. Under two… read more here.
Keywords: high dimensional; regression; ratio test; likelihood ratio ... See more keywords
Approximate and Exact Controllability of Switched Infinite-Dimensional Linear Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3121342
Abstract: This article addresses the approximate and exact controllability issues of switched infinite-dimensional linear systems. First, a controllability map that is related to switching sequence and a controllability Gramian operator are proposed, based on which two… read more here.
Keywords: exact controllability; approximate exact; controllability; infinite dimensional ... See more keywords
Ultrafast measurement of vector spatial modes by using two-dimensional linear optical sampling.
Sign Up to like & getrecommendations! Published in 2023 at "Optics letters"
DOI: 10.1364/ol.490009
Abstract: To the best of the authors' knowledge, we present the first-ever demonstration of the two-dimensional linear optical sampling of fiber spatial modes. The images of the fiber cross sections excited by the LP01 or LP11… read more here.
Keywords: spatial modes; two dimensional; optical sampling; dimensional linear ... See more keywords
High-dimensional Linear Regression for Dependent Data with Applications to Nowcasting
Sign Up to like & getrecommendations! Published in 2020 at "Statistica Sinica"
DOI: 10.5705/ss.202018.0044
Abstract: In recent years, extensive research has focused on the `1 penalized least squares (Lasso) estimators of high-dimensional linear regression when the number of covariates p is considerably larger than the sample size n. However, there… read more here.
Keywords: regression; errors covariates; high dimensional; regression dependent ... See more keywords