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In this paper, a tensor is simply viewed as a multidimensional array of measurements.
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In this paper, a new S-type eigenvalue localization set for a tensor is derived by dividing (N={1,2,ldots,n}) into disjoint subsets S and its complement.
In this paper, a tensor-decomposition-based algorithm is developed to exploit such block sparsity of targets.
In this paper, a high order array (tensor) is suggested for data representation, based on which the Uncorrelated Multilinear Principal Component Analysis (UMPCA) is applied to analyze the variation of human motion patterns.
In this paper a computational framework is presented where parameters pertaining to a spectral decomposition of the diffusion tensor are estimated using a Rician noise model.
In this paper, the Maxwell stress tensor is used to calculate the dielectrophoretic force acting on particles by considering the physical effect of particles in the computational domain.
In this paper, a survey has been presented on three recently proposed tensor filtering methods: MWF, PARAFAC, and MWPT-MWF.
Therefore, Theorem 2.1 in this paper can be more effective to determine whether a given tensor is a strong (mathcal{H} -tensor or not by increasing tH} -tensoror iterationot
In this paper, we give some criteria for identifying a strong (mathcal {H} -tensor wH} -tensordepend on the elements of tensors, and by increasing the number of iterations, whichn determine whether a given tensonlys a strong (mathcal{H})-tensor or not more effective.
A DK tensor is a fourth-order three-dimensional fully symmetric tensor.
In this paper, we extend the tensor representation so that the diffusion tensor is represented by an arbitrary ellipsoid.
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