[PDF] Top 20 On the Expected Likelihood Approach for Assessment of Regularization Covariance Matrix
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On the Expected Likelihood Approach for Assessment of Regularization Covariance Matrix
... Albeit the two mechanisms for generating are different, from a likelihood point of view the two representations are equivalent, as far as only assessment of from is ... Voir le document complet
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Regularized Covariance Matrix Estimation in Complex Elliptically Symmetric Distributions Using the Expected Likelihood Approach - Part 2: The Under-Sampled Case
... characterization of the signal to noise ratio loss of adaptive Þlters [1] or, for detection problems, the now classic papers by Kelly [2]–[4] about generalized likelihood ratio ... Voir le document complet
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Invariance properties of the likelihood ratio for covariance matrix estimation in some complex elliptically contoured distributions
... stands for the median value. In other words, the shrinkage factor is chosen such that the resulting LR of R (β EL ) is comparable with that of R 0 ...that regularization ... Voir le document complet
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Regularized Covariance Matrix Estimation in Complex Elliptically Symmetric Distributions Using the Expected Likelihood Approach - Part 1: The Over-Sampled Case
... Performance of estimates versus number of snapshots with an -type scatter ...value of . For comparison purposes, we also display the performance achieved when is Þxed to some ...value. ... Voir le document complet
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A continuous time approach to Robbins' problem of minimizing the expected rank
... http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted ... Voir le document complet
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Borda and the Maximum Likelihood Approach to Vote Aggregation
... Introduction The controversy that opposed Borda (1784) and Condorcet (1785) is well known; indeed, recent articles by Saari (2003, 2006) and Risse (2005) 1 suggest that it is still very much ...alive. The ... Voir le document complet
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On the amount of regularization for super-resolution reconstruction
... II) the theoretical context of super-resolution with affine motion, which requires special attention in terms of how hypotheses are formulated, and under which conditions the super-resolution, ... Voir le document complet
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On the Amount of Regularization for Super-Resolution Interpolation
... terms of the Cramer-Rao bound for HR image es- ...[12] for the reconstruction error. We give a quick demonstration for our formulation relying on an argument from ...consider ... Voir le document complet
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Reflection matrix approach for quantitative imaging of scattering media
... maps of ρðrÞ and ϵðrÞ help to provide an overall assessment of the factors impacting the image ...quality. For instance, they can be used to explain the apparent poor ... Voir le document complet
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Recursive Estimation of State-Space Noise Covariance Matrix by Approximate Variational Bayes
... VB approach to estimate the observation noise covariance matrix in a Kalman ...filter. The covariance matrix is assumed diagonal and the prior used is a product ... Voir le document complet
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Deep Learning Approach for Postprocessing Regularization in Seizure Preduction
... and regularization Deep Learning algorithms are formulated to solve an optimization problem, fundamentally, by applying gradient descent ...to the parametric Machine Learning fam- ily, where the ... Voir le document complet
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Estimation of Covariance Matrix Distances in the High Dimension Low Sample Size Regime
... Evaluating the distance between covariance matrices is at the core of many machine learning and signal processing ...used for covariance features-based classification (for ... Voir le document complet
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A pairwise likelihood approach for the empirical estimation of the underlying variograms in the plurigaussian models
... domains. For instance, in the earth sciences, some continuous soil properties ...(e.g the permeability, the grade of an element, ...categorizing the rock types into lithofacies ... Voir le document complet
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The Dynamics of Learning: A Random Matrix Approach
... or the l 2 -penalization (weight decay) as reported in ( Krizhevsky et ...in the case of the early stopping strategy ( Yao et ...or the stochastic gradient descent algorithm itself ( ... Voir le document complet
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Knowledge-aided Bayesian covariance matrix estimation in compound-Gaussian clutter
... work of O. Besson was supported by the Mission pour la Recherche et l’Innovation Scientifique (MRIS) of the ...with covariance matrix R and τ k is a positive random variable, ... Voir le document complet
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Assessment and monitoring of the effects of the ComMod approach
... Furthermore, the linearity of the sequences of the theoretical model used does not reflect the complicated, multi-faceted and unpredictable dialogue processes (Beuret, ...10, ... Voir le document complet
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Generation of the $^1$H in H$_2$O neutron thermal scattering law covariance matrix of the CAB model
... contribution of the uncertainty due to the 1 H in H 2 O thermal scattering data was then evaluated on the MISTRAL-1 (UOX) and MISTRAL-2 (MOX) integral experiments carried out in the ... Voir le document complet
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A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood
... number of low intensity components are lost when using a data fidelity term derived from Poisson ...Similarly, the shape of low intensity components is not well reconstructed when using a WL2 data ... Voir le document complet
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Assessment of Rework Probabilities for Simulating Product Development Processes Using the Design Structure Matrix (DSM)
... advantage of the matrix representation over the digraph is its compactness and ability to provide a systematic mapping among process elements that is clear and easy to read regardless ... Voir le document complet
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Multi-Level Modeling Approach for the Availability Assessment of e-Business Applications
... Knowledge of the system architecture is required for modeling ...examples of configurations of a Web server: a) a non-redundant configuration with a single server, b) a redundant ... Voir le document complet
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