Results 11 to 20 of about 210,344 (267)
Classical and Quantum Gravity, 2004 There is derived, for a conformally flat three-space, a family of linear second-order partial differential operators which send vectors into tracefree, symmetric two-tensors.
Beig R +10 more
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$ SDD_2 $ tensors and $ B_2 $-tensors
Electronic Research ArchiveStrong $ \mathcal{H} $-tensors have many important applications in practical problems. In particular, strong $ \mathcal{H} $-tensors play an important role in the positive qualitative determination of multivariate even-order homogeneous polynomials ...
Keru Wen, Jiaqi Qi, Yaqiang Wang
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Foundations and Trends® in Machine Learning, 2021 187 pages, 32 figures, 10 ...
Liu, Jiani +3 more
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Physical Review Letters, 2021 Inspired by holographic codes and tensor-network decoders, we introduce tensor-network stabilizer codes which come with a natural tensor-network decoder. These codes can correspond to any geometry, but, as a special case, we generalize holographic codes beyond those constructed from perfect or block-perfect isometries, and we give an example that ...
Terry Farrelly +3 more
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IET Radar, Sonar & Navigation, 2021 In order to improve the accuracy and resolution for transmit beamspace (TB) multiple‐input multiple‐output (MIMO) radar, a search‐free direction‐of‐arrival (DOA) estimation method based on tensor modelling and polynomial rooting is proposed.
Feng Xu, Xiaopeng Yang, Tian Lan
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Tensor-on-Tensor Regression [PDF]
Journal of Computational and Graphical Statistics, 2018 We propose a framework for the linear prediction of a multi-way array (i.e., a tensor) from another multi-way array of arbitrary dimension, using the contracted tensor product. This framework generalizes several existing approaches, including methods to predict a scalar outcome from a tensor, a matrix from a matrix, or a tensor from a scalar.
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Tensors.jl — Tensor Computations in Julia
Journal of Open Research Software, 2019 Tensors.jl is a Julia package that provides efficient computations with symmetric and non-symmetric tensors. The focus is on the kind of tensors commonly used in e.g. continuum mechanics and fluid dynamics.
Kristoffer Carlsson, Fredrik Ekre
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Mathematics, 2021 Face recognition and identification are very important applications in machine learning. Due to the increasing amount of available data, traditional approaches based on matricization and matrix PCA methods can be difficult to implement.
Mustapha Hached +3 more
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Positive Definiteness and Semi-Definiteness of Even Order Symmetric Cauchy Tensors [PDF]
, 2014 Motivated by symmetric Cauchy matrices, we define symmetric Cauchy tensors and their generating vectors in this paper. Hilbert tensors are symmetric Cauchy tensors.
Chen, Haibin, Qi, Liqun
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