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Proposed feature extraction method is based on tensor decomposition of the clinical color image of skin lesion.
In 2013, Caiafa and Cichocki proposed two types of matching pursuit algorithms based on tensor decomposition [28].
In Blind identification based on tensor decomposition, the GGF-ALS and GGF-TALS approaches are developed for the estimation of the mixing matrix.
In addition, by utilizing the structural information in each mode, the method based on tensor decomposition can perform robustly under the condition of high coherence [46].
In this paper, a Kronecker constrained spotlight SAR imaging algorithm based on tensor decomposition is developed, which exploits the block sparsity of the target scene.
For example, Lebedev et al. propose a two-step framework to speed up convolution layers based on tensor decomposition and discriminative fine-tuning [32].
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We combine an in-depth investigation on the global spatial features with temporal variations in the ionosphere based on tensor rank-1 decomposition.
In a similar approach, speaker adaptation based on tensor analysis using Tucker decomposition[4] was investigated in[5], where bases were constructed from the multilinear decomposition of a tensor that consisted of the HMM mean vectors of training speakers.
By introducing a rotation tensor for rigid-body motion and a surface curvature tensor for the curvatures of surface, tensor expressions of curvature relations between conjugate surfaces of line contact and point contact are directly obtained based on tensor analysis.
The formulations herein are based on tensor spherical harmonics having orthogonality and completeness properties.
Nevertheless, our goal is to estimate the mixing matrix A, whereas the CAND of core tensor T ∈ C Q × Q × L only conduces A. Hence, it is necessary to derive the mixing matrix A based on A. Since the first and second factors of Tucker decomposition (17) are identity matrices, it is straightforward to derive A = I A ¯ = A ¯ (22).
More suggestions(14)
based on tensor rank-1
based on tensor frame
based on tensor structure
based on tensor spherical
based on tensor product
based on domain decomposition
based on ethanol decomposition
based on channel decomposition
based on chemical decomposition
based on phenol decomposition
based on part decomposition
based on wavelet decomposition
based on polynomial decomposition
based on variance decomposition
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