Results 1 to 10 of about 13,997,719 (325)
European Journal of Combinatorics, 2017 17 pages, 2 ...
Kwon, O-joung +2 more
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Large Margin Low Rank Tensor Analysis [PDF]
Neural Computation, 2014 We present a supervised model for tensor dimensionality reduction, which is called large margin low rank tensor analysis (LMLRTA). In contrast to traditional vector representation-based dimensionality reduction methods, LMLRTA can take any order of tensors as input.
Zhong, Guoqiang, Cheriet, Mohamed
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ALORA: Affine Low-Rank Approximations
Journal of Scientific Computing, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ayala, Alan +2 more
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TILT: Transform Invariant Low-Rank Textures [PDF]
International Journal of Computer Vision, 2011 Submitted to IJCV.
Zhang, Zhengdong +3 more
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Array Three-Dimensional SAR Imaging via Composite Low-Rank and Sparse Prior
Remote SensingArray three-dimensional (3D) synthetic aperture radar (SAR) imaging has been used for 3D modeling of urban buildings and diagnosis of target scattering characteristics, and represents one of the significant directions in SAR development in recent years ...
Zhiliang Yang +6 more
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Low-Rank Based Image Analyses for Pathological MR Image Segmentation and Recovery
Frontiers in Neuroscience, 2019 The presence of pathologies in magnetic resonance (MR) brain images causes challenges in various image analysis areas, such as registration, atlas construction and atlas-based segmentation.
Chuanlu Lin +3 more
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Low Rank Symmetric Tensor Approximations [PDF]
SIAM Journal on Matrix Analysis and Applications, 2017 For a given symmetric tensor, we aim at finding a new one whose symmetric rank is small and that is close to the given one. There exist linear relations among the entries of low rank symmetric tensors. Such linear relations can be expressed by polynomials, which are called generating polynomials.
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Low Rank Perturbations of Quaternion Matrices [PDF]
The Electronic Journal of Linear Algebra, 2017 Low rank perturbations of right eigenvalues of quaternion matrices are considered. For real and complex matrices it is well known that under a generic rank-$k$ perturbation the $k$ largest Jordan blocks of a given eigenvalue will disappear while additional smaller Jordan blocks will remain.
Ran, André, Mehl, Chr.
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Estimation of high-dimensional low-rank matrices
, 2011 Suppose that we observe entries or, more generally, linear combinations of entries of an unknown $m\times T$-matrix $A$ corrupted by noise. We are particularly interested in the high-dimensional setting where the number $mT$ of unknown entries can be ...
Rohde, Angelika, Tsybakov, Alexandre B.
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TV Regularized Low-Rank Framework for Localizing Premature Ventricular Contraction Origin
IEEE Access, 2019 Premature ventricular contraction (PVC) can cause great harm to human health. Both invasive and non-invasive techniques for detecting electrical activity of PVC or locating ectopic pacemakers are used in clinical diagnosis.
Lin Fang +4 more
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