Results 11 to 20 of about 697,287 (294)
Penalized Orthogonal-Components Regression for Large p Small n Data
Electronic Journal of Statistics, 2008 We propose a penalized orthogonal-components regression (POCRE) for large p small n data. Orthogonal components are sequentially constructed to maximize, upon standardization, their correlation to the response residuals.
Lin, Yanzhu, Zhang, Dabao, Zhang, Min
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Weighted Orthogonal Components Regression Analysis [PDF]
Journal of Data Science, 2021 22 pages, 4 ...
Su, Xiaogang +3 more
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Orthogonality and transformations in variance components models [PDF]
Biometrika, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. J. Solomon, Jeremy M.G. Taylor
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Bayesian Orthogonal Component Analysis for Sparse Representation [PDF]
IEEE Transactions on Signal Processing, 2010 This paper addresses the problem of identifying a lower dimensional space where observed data can be sparsely represented. This under-complete dictionary learning task can be formulated as a blind separation problem of sparse sources linearly mixed with an unknown orthogonal mixing matrix. This issue is formulated in a Bayesian framework.
Dobigeon, Nicolas, Tourneret, Jean-Yves
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Extension-orthogonal components of preprojective varieties [PDF]
Transactions of the American Mathematical Society, 2004 Let Q Q be a Dynkin quiver, and let Λ \Lambda be the corresponding preprojective algebra. Let C = { C i ∣ i ∈ I } {\mathcal C} = \{ C_i \mid i \in I \} be a set of pairwise ...
Geiß, Christof, Schröer, Jan
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Robust Orthogonal Complement Principal Component Analysis [PDF]
Journal of the American Statistical Association, 2016 Recently, the robustification of principal component analysis (PCA) has attracted lots of attention from statisticians, engineers, and computer scientists. In this work, we study the type of outliers that are not necessarily apparent in the original observation space but can seriously affect the principal subspace estimation.
She, Yiyuan, Li, Shijie, Wu, Dapeng
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Orthogonally constrained independent component extraction: Blind MPDR beamforming [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Kautský, Václav +2 more
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Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2021 The methods used in the microprocessor protection of electrical equipment for forming orthogonal components of input currents ensure their reliable isolation after changing the mode followed by one or more periods of the fundamental frequency.
F. A. Romaniuk +3 more
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Technique of Performance Improvement of the Microprocessor-Based Protection Measuring Element
Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2019 The technique is proposed to improve the performance of the measuring element of microprocessor-based protection and its implementation is considered at the software level.
F. A. Romaniuk +3 more
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Mathematics, 2021 In this paper, we extend the use of disjoint orthogonal components to three-way table analysis with the parallel factor analysis model. Traditional methods, such as scaling, orthogonality constraints, non-negativity constraints, and sparse techniques, do
Carlos Martin-Barreiro +5 more
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