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Classifier selection method based on clustering and weighted mean
Journal of Intelligent & Fuzzy Systems, 2016Currently, Multiple Classifier System (MCS) attracts more and more attentions and has become one of the research hotspots in the pattern recognition field. Classifier selection is a commonly used strategy for MCS to achieve the final decision. A classifier selection method based on clustering and weighted mean is proposed in this paper.
Aizhong Mi, Haifeng Sima
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Double weighted mean methods equivalent to $(C,1,1)$
Publicationes Mathematicae Debrecen, 1995Summary: We establish sufficient conditions for the double weighted mean matrices \((\overline N, p_{ij})\) and \((C,1,1)\), the double Cesàro matrix of order \((1,1)\), to be equivalent and absolutely equivalent of order \(k \geq 1\). The latter equivalence is proved only in the case where \(\{p_{ij}\}\) is factorable.
Móricz, F., Rhoades, B. E.
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On Absolute Weighted Mean Summability Methods
Bulletin of the London Mathematical Society, 1993The author proved the factor theorem for \(| C,1|_ k \Rightarrow | \overline{N}, p_ n|_ k\), \(k\geq 1\) and \(| \overline{N}, p_ n|_ k \Rightarrow | C,1|_ k\), \(k\geq 1\) under the conditions (i) \(np_ n= O(P_ n)\) and (ii) \(P_ n= O(np_ n)\). \textit{M. A. Sarigöl} [Indian J. Pure Appl. Math. 22, No.
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Extended Tauberian Theorem for the weighted mean Method of Summability
Ukrainian Mathematical Journal, 2013The authors provide some Tauberian-like conditions using the weighted mean summability method to obtain information about the asymptotic behavior, e.g., slow oscillation, of a real sequence. Once slow oscillation is established, some classical results can easily be established as a corollary to this theorem.
Canak, I., Totur, U.
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The Nörlund and The Weighted Mean Methods
2015In this chapter, we introduce the Norlund and the Weighted Mean methods in the ultrametric set-up and their properties are elaborately discussed. We also show that the Mazur–Orlicz theorem and Brudno’s theorem fail to hold in the ultrametric case.
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Estimation of normal means in the tree order model by the weighting methods
Communications in Statistics - Simulation and Computation, 2019Consider k + 1 independent normal populations with the tree order restriction on the mean parameters.
Reza Momeni +2 more
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A Tauberian theorem for discrete weighted mean methods
Analysis, 2006A Tauberian theorem of “slowly decreasing” type is proved for discrete weighted mean methods of summability by reduction to the corresponding Tauberian theorem for weighted mean methods.
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A note on the weighted mean method used in platelet survival studies
Blut, 1987It is shown how to calculate optimal weights for the weighted mean method which is applied in radioisotope survival studies.
J M, van Zyl, M G, Lötter
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A New Weight for Nonlocal Means Denoising Using Method Noise
IEEE Signal Processing Letters, 2012Method noise, i.e., the difference between the noisy image and its denoised version, often contains residual image information due to imperfect denoising methods. In this letter, a novel weight is derived for nonlocal means (NLM) denoising, which tries to exploit the nonlocal similarities of residual image in method noise, and estimates directly the ...
Hua Zhong, Chen Yang, Xiaohua Zhang
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Tauberian remainder theorems for iterations of methods of weighted means
2019In this paper we prove some Tauberian remainder theorems on ?-bounded sequences for iterations of methods of weighted means. © 2019, Academic Publishing House. All rights reserved.
Sezer, Sefa Anil, Canak, Ibrahim
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