Orthogonal polynomial embedded image kernel
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(22)
Publication Date
Thu Feb 28 2019
Journal Name
Multimedia Tools And Applications
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(33)
Publication Date
Sun Mar 02 2008
Journal Name
Baghdad Science Journal
Orthogonal Functions Solving Linear functional Differential EquationsUsing Chebyshev Polynomial
A method for Approximated evaluation of linear functional differential equations is described. where a function approximation as a linear combination of a set of orthogonal basis functions which are chebyshev functions .The coefficients of the approximation are determined by (least square and Galerkin’s) methods. The property of chebyshev polynomials leads to good results , which are demonstrated with examples.
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Publication Date
Wed Jul 25 2018
Journal Name
International Journal Of Engineering Trends And Technology
(1)
Publication Date
Thu Feb 01 2018
Journal Name
Iet Signal Processing
(36)
(38)
Publication Date
Sun Jan 01 2023
Journal Name
2nd International Conference On Mathematical Techniques And Applications: Icmta2021
Publication Date
Mon May 15 2017
Journal Name
International Journal Of Image And Data Fusion
(32)
(10)
Publication Date
Fri Apr 01 2016
Journal Name
Iosr Journal Of Computer Engineering
(1)
Publication Date
Fri Apr 01 2016
Journal Name
Iosr Journal Of Computer Engineering
(1)
Publication Date
Fri Aug 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
Comparison between the Local Polynomial Kernel and Penalized Spline to Estimating Varying Coefficient Model
Varying Coefficient Model
Local Polynomial Kernel
Penalized Spline
Generalized Cross Validation
Analysis the economic and financial phenomena and other requires to build the appropriate model, which represents the causal relations between factors. The operation building of the model depends on Imaging conditions and factors surrounding an in mathematical formula and the Researchers target to build that formula appropriately. Classical linear regression models are an important statistical tool, but used in a limited way, where is assumed that the relationship between the variables illustrations and response variables identifiable. To expand the representation of relationships between variables that represent the phenomenon under discussion we used Varying Coefficient Models
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Publication Date
Thu Jan 01 2015
Journal Name
International Journal Of Computer Science And Mobile Computing