Results 11 to 20 of about 6,019,459 (297)
Singular Value and Structured Singular Value Bounds in Parameter Space [PDF]
This contribution discusses the mapping of singular value (sigma-) bounds and structured singuar value (mu-) bounds into parameter space. The sigma- and mu- mapping problem is defined to enclose robut design and analysis in parameter space. Real, complex and mixed uncertainty structures are considered.
Bajcinca, N., Muhler, M.
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Method for Distinguishing the Digital Images in Different Formats [PDF]
Nowadays, the energy systems are considered to be the main vital factor for the functioning of society. Today, this part of the infrastructure cannot exist without the informative infrastructure, so it needs efficient information and cyber protection. To
Kobozeva A.A. +2 more
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GPU accelerated singular value thresholding
Matrix completion (MC) is widely used in machine learning and signal processing to fill in the missing data of an incomplete observation matrix. Singular value thresholding (SVT) is one of the most popular algorithms among numerous MC methods.
Xiaotong Li, Karel Adámek, Wes Armour
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Singular Vectors From Singular Values
8 ...
Weiwei Xu, Michael K. Ng 0001
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Adaptive shrinkage of singular values [PDF]
To recover a low rank structure from a noisy matrix, truncated singular value decomposition has been extensively used and studied. Recent studies suggested that the signal can be better estimated by shrinking the singular values. We pursue this line of research and propose a new estimator offering a continuum of thresholding and shrinking functions. To
Josse, Julie, Sardy, Sylvain
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Prediction of Remaining Useful Life of the Lithium-Ion Battery Based on Improved Particle Filtering
Remaining useful life (RUL) prediction of lithium-ion batteries plays an important role in battery failure prediction and health management (PHM).
Tiezhou Wu +3 more
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Singular Value Decomposition of Complexes [PDF]
Singular value decompositions of matrices are widely used in numerical linear algebra with many applications. In this paper, we extend the notion of singular value decompositions to finite complexes of real vector spaces. We provide two methods to compute them and present several applications.
Danielle A. Brake +4 more
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Singular Values for ReLU Layers [PDF]
Despite their prevalence in neural networks we still lack a thorough theoretical characterization of ReLU layers. This paper aims to further our understanding of ReLU layers by studying how the activation function ReLU interacts with the linear component of the layer and what role this interaction plays in the success of the neural network in achieving
Sören Dittmer +2 more
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5 pages, no figures; a few clarifying comments ...
Horowitz, Gary T., Myers, Robert
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Balanced Realization and Model Order Reduction for Nonlinear Systems Based on Singular Value Analysis [PDF]
This paper discusses balanced realization and model order reduction for both continuous-time and discrete-time general nonlinear systems based on singular value analysis of the corresponding Hankel operators.
Fujimoto, Kenji +6 more
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