Flange
发表于 2025-3-21 16:07:54
书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0320543<br><br> <br><br>书目名称Elliptically Symmetric Distributions in Signal Processing and Machine Learning读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0320543<br><br> <br><br>
ABHOR
发表于 2025-3-21 22:14:41
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STING
发表于 2025-3-22 00:55:09
Linear Shrinkage of Sample Covariance Matrix or Matrices Under Elliptical Distributions: A Reviewand multiple populations settings, respectively. In the single sample setting a popular linear shrinkage estimator is defined as a linear combination of the sample covariance matrix (SCM) with a scaled identity matrix. The optimal shrinkage coefficients minimizing the mean-squared error (MSE) under
BUDGE
发表于 2025-3-22 07:26:55
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友好关系
发表于 2025-3-22 12:15:35
Semiparametric Estimation in Elliptical Distributionsowing how it can be fruitfully applied to the joint estimation of the . and the . (or .) matrix of a set of elliptically distributed observations in the presence of an unknown density generator. A semiparametric model is a set of probablity density functions (pdfs) parameterized by a finite-dimensio
etidronate
发表于 2025-3-22 15:40:06
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etidronate
发表于 2025-3-22 19:25:10
Performance Analysis of Subspace-Based Algorithms in CES Data Modelsapplications in signal processing. The statistical performance of these subspace-based algorithms depends on the deterministic and stochastic statistical model of the noisy linear mixture of the data, the estimate of the projector associated with different estimates of the scatter/covariance of the
Multiple
发表于 2025-3-22 22:19:51
Robust Bayesian Cluster Enumeration for RES Distributionslustering methods are highly useful in a variety of applications. For example, in the medical sciences, identifying clusters may allow for a comprehensive characterization of subgroups of individuals. However, in real-world data, the true cluster structure is often obscured by heavy-tailed noise, ar
高度表
发表于 2025-3-23 01:36:14
FEMDA: A Unified Framework for Discriminant Analysisth non-Gaussian distributions or contaminated datasets. This is primarily due to their reliance on the Gaussian assumption, which lacks robustness. We first explain and review the classical methods to address this limitation and then present a novel approach that overcomes these issues. In this new
attenuate
发表于 2025-3-23 08:33:33
Learning Graphs from Heavy-Tailed Dataultivariate Student’s .-distribution as a Laplacian matrix associated to a graph whose node features (or signals) are observable. We design numerical algorithms, via the alternating direction method of multipliers, to learn connected, .-component, bipartite, and .-component bipartite graphs suitable