Works matching DE "SINGULAR value decomposition"
Results: 3219
The Use of Learning Techniques to Analyze the Results of a Manual Classification System.
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- Knowledge Organization, 2016, v. 43, n. 1, p. 56, doi. 10.5771/0943-7444-2016-1-56
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Selection of the most sensitive configuration of strip array detectors for x-ray beam monitoring in radiotherapy of cancer utilizing singular value decomposition.
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- Medical & Biological Engineering & Computing, 2023, v. 61, n. 2, p. 341, doi. 10.1007/s11517-022-02719-5
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Color medical image cryptography technology based on segmentation and fractional-order hyperchaotic system.
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- Medical & Biological Engineering & Computing, 2023, v. 61, n. 1, p. 109, doi. 10.1007/s11517-022-02700-2
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Joint low-rank prior and difference of Gaussian filter for magnetic resonance image denoising.
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- Medical & Biological Engineering & Computing, 2021, v. 59, n. 3, p. 607, doi. 10.1007/s11517-020-02312-8
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Three matrix factorizations from the steps of elimination.
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- Analysis & Applications, 2022, v. 20, n. 6, p. 1147, doi. 10.1142/S0219530522400061
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Matrix completion via minimizing an approximate rank.
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- Analysis & Applications, 2019, v. 17, n. 5, p. 689, doi. 10.1142/S0219530519400025
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Controlling a planar temperature grid.
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- Ingeniería y Desarrollo, 2008, n. 24, p. 133
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The mechanism of additive composition.
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- Machine Learning, 2017, v. 106, n. 7, p. 1083, doi. 10.1007/s10994-017-5634-8
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Cross-domain adaptation network based on attention mechanism for tool wear prediction.
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- Journal of Intelligent Manufacturing, 2023, v. 34, n. 8, p. 3365, doi. 10.1007/s10845-022-02005-z
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A tensor bidiagonalization method for higher‐order singular value decomposition with applications.
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- Numerical Linear Algebra with Applications, 2024, v. 31, n. 2, p. 1, doi. 10.1002/nla.2530
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Efficient algorithms for computing rank‐revealing factorizations on a GPU.
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- Numerical Linear Algebra with Applications, 2023, v. 30, n. 6, p. 1, doi. 10.1002/nla.2515
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CP decomposition for tensors via alternating least squares with QR decomposition.
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- Numerical Linear Algebra with Applications, 2023, v. 30, n. 6, p. 1, doi. 10.1002/nla.2511
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Solution methods to the nearest rotation matrix problem in ℝ3: A comparative survey.
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- Numerical Linear Algebra with Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/nla.2492
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Fast randomized tensor singular value thresholding for low‐rank tensor optimization.
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- Numerical Linear Algebra with Applications, 2022, v. 29, n. 6, p. 1, doi. 10.1002/nla.2444
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Low‐rank tensor completion with sparse regularization in a transformed domain.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 6, p. 1, doi. 10.1002/nla.2387
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Condition numbers for the truncated total least squares problem and their estimations.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 5, p. 1, doi. 10.1002/nla.2369
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Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 4, p. 1, doi. 10.1002/nla.2364
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A randomized generalized low rank approximations of matrices algorithm for high dimensionality reduction and image compression.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 1, p. 1, doi. 10.1002/nla.2338
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Robust tensor completion using transformed tensor singular value decomposition.
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- Numerical Linear Algebra with Applications, 2020, v. 27, n. 3, p. 1, doi. 10.1002/nla.2299
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Decompositions of third‐order tensors: HOSVD, T‐SVD, and Beyond.
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- Numerical Linear Algebra with Applications, 2020, v. 27, n. 3, p. 1, doi. 10.1002/nla.2290
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Fast approximate truncated SVD.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 4, p. N.PAG, doi. 10.1002/nla.2246
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Spectral condition‐number estimation of large sparse matrices.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 3, p. N.PAG, doi. 10.1002/nla.2235
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Sampling and multilevel coarsening algorithms for fast matrix approximations.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 3, p. N.PAG, doi. 10.1002/nla.2234
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Accurate computations with Laguerre matrices.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 1, p. N.PAG, doi. 10.1002/nla.2217
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Accelerating the iterative solution of convection–diffusion problems using singular value decomposition.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 1, p. N.PAG, doi. 10.1002/nla.2211
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Accurate computations with collocation matrices of a general class of bases.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 5, p. 1, doi. 10.1002/nla.2184
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A randomized tensor singular value decomposition based on the t‐product.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 5, p. 1, doi. 10.1002/nla.2179
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A weighted singular value decomposition for the discrete inverse problems.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 1, p. n/a, doi. 10.1002/nla.2114
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On the weighting method for mixed least squares-total least squares problems.
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- Numerical Linear Algebra with Applications, 2017, v. 24, n. 5, p. n/a, doi. 10.1002/nla.2094
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On the Lanczos and Golub–Kahan reduction methods applied to discrete ill-posed problems.
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- Numerical Linear Algebra with Applications, 2016, v. 23, n. 1, p. 187, doi. 10.1002/nla.2020
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Fast Hankel tensor-vector product and its application to exponential data fitting.
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- Numerical Linear Algebra with Applications, 2015, v. 22, n. 5, p. 814, doi. 10.1002/nla.1970
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A modified truncated singular value decomposition method for discrete ill-posed problems.
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- Numerical Linear Algebra with Applications, 2014, v. 21, n. 6, p. 813, doi. 10.1002/nla.1938
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On best rank one approximation of tensors.
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- Numerical Linear Algebra with Applications, 2013, v. 20, n. 6, p. 942, doi. 10.1002/nla.1878
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Hermitian-type generalized singular value decomposition with applications.
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- Numerical Linear Algebra with Applications, 2013, v. 20, n. 1, p. 60, doi. 10.1002/nla.1825
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Sensitivity analysis for the generalized singular value decomposition.
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- Numerical Linear Algebra with Applications, 2013, v. 20, n. 1, p. 138, doi. 10.1002/nla.1829
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Long-time behavior of the proper orthogonal decomposition method.
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- Numerical Linear Algebra with Applications, 2012, v. 19, n. 5, p. 842, doi. 10.1002/nla.825
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Ill-conditioning of the truncated singular value decomposition, Tikhonov regularization and their applications to numerical partial differential equations.
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- Numerical Linear Algebra with Applications, 2011, v. 18, n. 2, p. 205, doi. 10.1002/nla.766
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A motion assessment method for reference stack selection in fetal brain MRI reconstruction based on tensor rank approximation.
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- NMR in Biomedicine, 2024, v. 37, n. 12, p. 1, doi. 10.1002/nbm.5248
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Synthesis of higher‐B<sub>0</sub> CEST Z‐spectra from lower‐B<sub>0</sub> data via deep learning and singular value decomposition.
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- NMR in Biomedicine, 2024, v. 37, n. 12, p. 1, doi. 10.1002/nbm.5221
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A multivariate curve resolution analysis of multicenter proton spectroscopic imaging of the prostate for cancer localization and assessment of aggressiveness.
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- NMR in Biomedicine, 2024, v. 37, n. 3, p. 1, doi. 10.1002/nbm.5062
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Parallel Bidiagonal SVD via the Method of Multiple Relatively Robust Representations.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2015, v. 15, n. 1, p. 587, doi. 10.1002/pamm.201510283
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Model Order Reduction for Unsteady Aerodynamic Applications.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2013, v. 13, n. 1, p. 475, doi. 10.1002/pamm.201310230
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Iterative solution of inconsistent systems of linear inequalities.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2013, v. 13, n. 1, p. 407, doi. 10.1002/pamm.201310199
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- Article
Simulation of the interaction of light with 3‐D metallic nanostructures using a proper orthogonal decomposition‐Galerkin reduced‐order discontinuous Galerkin time‐domain method.
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- Numerical Methods for Partial Differential Equations, 2023, v. 39, n. 2, p. 932, doi. 10.1002/num.22911
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Least squares solutions to the rank-constrained matrix approximation problem in the Frobenius norm.
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- Calcolo, 2019, v. 56, n. 4, p. N.PAG, doi. 10.1007/s10092-019-0339-y
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New bounds for perturbation of the orthogonal projection.
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- Calcolo, 2013, v. 50, n. 1, p. 69, doi. 10.1007/s10092-012-0058-0
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- Article
A feasible identification method of uncertainty responses for vehicle structures.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 6, p. 3861, doi. 10.1007/s00158-021-03065-0
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- Article
Efficient progressive polynomial approximate optimization.
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- Structural & Multidisciplinary Optimization, 2018, v. 58, n. 4, p. 1783, doi. 10.1007/s00158-018-1997-0
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Structural and sensitivity reanalyses based on singular value decomposition.
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- Structural & Multidisciplinary Optimization, 2013, v. 48, n. 2, p. 327, doi. 10.1007/s00158-013-0900-2
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Topology optimization for designing strain-gauge load cells.
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- Structural & Multidisciplinary Optimization, 2010, v. 42, n. 3, p. 387, doi. 10.1007/s00158-010-0491-0
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