EURASIP Journal on Advances in Signal Processing, 2004 In order to operate properly, the superresolution methods based on orthogonal subspace decomposition, such as multiple signal classification (MUSIC) or estimation of signal parameters by rotational invariance techniques (ESPRIT), need accurate ...
Radoi Emanuel, Quinquis André
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The Discriminant Analysis Used by the IRS to Predict Profitable Individual Tax Return Audits [PDF]
, 2008 This paper discusses past and current methods the IRS uses to determine which individual income tax returns to audit. The IRS currently uses the discriminant function to give all individual tax returns two scores; one based on whether it should be ...
Torrey, Amber
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Application of Discriminant Analysis for Studying the Source Rock Potential of Probable Formations in the Lorestan Basin, Iran [PDF]
International Journal of Mining and Geo-Engineering, 2014 Understanding the performance and role of each formation in a petroleum play is crucial for the efficient and precise exploration and exploitation of trapped hydrocarbons in a sedimentary basin. The Lorestan basin is one of the most important hydrocarbon
Amir Negahdari +2 more
doaj
Grammatical Morphology in School-Age Children With and Without Language Impairment: A Discriminant Function Analysis [PDF]
, 2011 Purpose: The purpose of this study was to test Bedore and Leonard\u27s (1998) proposal that a verb morpheme composite may hold promise as a clinical marker for specific language impairment (SLI) in English speakers and serve as an accurate basis for the ...
Gorman, Brenda K. +2 more
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The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis
, 2020 Fisher's linear discriminant analysis is a classical method for classification, yet it is limited to capturing linear features only. Kernel discriminant analysis as an extension is known to successfully alleviate the limitation through a nonlinear ...
Kim, Jiae, Lee, Yoonkyung, Liang, Zhiyu
core
Explicit versions of the prime ideal theorem for Dedekind zeta functions under GRH
, 2015 Let $\psi_\K$ be the Chebyshev function of a number field $\K$. Under GRH we prove an explicit upper bound for $|\psi_\K(x)-x|$ in terms of the degree and the discriminant of $\K$.
Grenié, Loïc, Molteni, Giuseppe
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BUILDING AN ENTANGLEMENT MEASURE ON PHYSICAL GROUND [PDF]
, 2012 We introduce on physical grounds a new measure of multipartite entanglement for pure states. The function we define is discriminant and monotone under LOCC; moreover, it can be expressed in terms of observables of the system.We introduce on physical ...
MESSINA, Antonino +2 more
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Analyze of Classification Accaptence Subsidy Food Using Kernel Discriminant [PDF]
, 2015 Subsidy food is government program for social protection to poor households. The aims of this program are to effort households from starve and to decrease poverty. Less precisely target of this program has negative impact. So that
Mukid, Moch. Abdul, Prahutama, Alan
core
Sensible functional linear discriminant analysis [PDF]
Computational Statistics & Data Analysis, 2018 The focus of this paper is to extend Fisher's linear discriminant analysis (LDA) to both densely re-corded functional data and sparsely observed longitudinal data for general $c$-category classification problems. We propose an efficient approach to identify the optimal LDA projections in addition to managing the noninvertibility issue of the covariance
Lu-Hung Chen, Ci-Ren Jiang
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Nonvanishing and Central Critical Values of Twisted $L$-functions of Cusp Forms on Average [PDF]
, 2015 Let $f$ be a holomorphic cusp form of integral weight $k \geq 3$ for $\Gamma_{0}(N)$ with nebentypus character $\psi$. Generalising work of Kohnen and Raghuram we construct a kernel function for the $L$-function $L(f,\chi,s)$ of $f$ twisted by a ...
Schwagenscheidt, Markus
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