Results 21 to 30 of about 210,344 (267)
Multimodal Tucker Decomposition for Gated RBM Inference
Applied Sciences, 2021 Gated networks are networks that contain gating connections in which the output of at least two neurons are multiplied. The basic idea of a gated restricted Boltzmann machine (RBM) model is to use the binary hidden units to learn the conditional ...
Mauricio Maldonado-Chan +2 more
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On degeneration of tensors and algebras [PDF]
, 2016 An important building block in all current asymptotically fast algorithms for matrix multiplication are tensors with low border rank, that is, tensors whose border rank is equal or very close to their size.
Bläser, Markus, Lysikov, Vladimir
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Tensor-Based Harmonic Analysis of Distribution Systems
Energies, 2022 Over the past few decades, there have been rapid advances in solid-state technology as well as a reduction in cost. This, coupled with the functionality and efficiency improvements they afford, has resulted in a massive increase in the use of electronic ...
Muhammad Ramzan +2 more
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Tensor factorization via transformed tensor-tensor product for image alignment
Numerical Algorithms, 2023 In this paper, we study the problem of a batch of linearly correlated image alignment, where the observed images are deformed by some unknown domain transformations, and corrupted by additive Gaussian noise and sparse noise simultaneously. By stacking these images as the frontal slices of a third-order tensor, we propose to utilize the tensor ...
Xia, Sijia, Qiu, Duo, Zhang, Xiongjun
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IET Signal Processing, 2021 Tensor singular value decomposition (t‐SVD) provides a novel way to decompose a tensor. It has been employed mostly in recovering missing tensor entries from the observed tensor entries.
Shuli Ma +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Multivariate ridge regression (MR), linear discriminant analysis (LDA) and extreme learning machine (ELM) have been widely used in hyperspectral image (HSI) classification.
Xinpeng Wang +3 more
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Proceedings of the Edinburgh Mathematical Society, 1957 A form of integration of tensors will be introduced here, which will preserve the character of a tensor when so integrated.
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Journal de Mathématiques Pures et Appliquées, 2017 We analyze tensors in the tensor product of three m-dimensional vector spaces satisfying Strassen's equations for border rank m. Results include: two purely geometric characterizations of the Coppersmith-Winograd tensor, a reduction to the study of symmetric tensors under a mild genericity hypothesis, and numerous additional equations and examples ...
Landsberg, J. M., Michałek, Mateusz
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An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors
IEEE Access, 2018 The PARAllel FACtor (PARAFAC) decomposition is known as one of the most commonly used tools in tensor signal/data processing. Unfortunately, its classical algorithms barely take the potential statistical and/or deterministic prior information of the ...
Ming Shi, Dan Li, Jian Qiu Zhang
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Temporal prediction for spectrum environment maps with moving radiation sources
IET Communications, 2023 Spectrum resources are becoming harder to come by for wireless communications. The spectrum environment map (SEM), which depicts the electromagnetic environment's current state and future trend, is a valuable technique for managing and allocating ...
Yi Zhao +6 more
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