Results 121 to 130 of about 710,592 (303)
An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors
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
doaj +1 more source
We consider representations of tensors as sums of decomposable tensors or, equivalently, decomposition of multilinear forms into one--forms. In this short note we show that there exists a particular finite strongly orthogonal decomposition which is essentially unique and yields all critical points of the multilinear form on the torus.
Peña, Juan Manuel, Sauer, Tomas
openaire +2 more sources
Graphene layers are fabricated on Cu foil and transferred onto glass substrates to form double‐ and multi‐layer G‐glass. Raman spectroscopy confirms structural integrity, while SEM and fluorescence microscopy reveal favorable adhesion and spreading of L‐929 fibroblast cells.
Mariana Mihaela Apostol +8 more
wiley +1 more source
Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition
Hyperspectral image (HSI) is usually corrupted by various types of noise, including Gaussian noise, impulse noise, stripes, deadlines, and so on. Recently, sparse and low-rank matrix decomposition (SLRMD) has demonstrated to be an effective tool in HSI ...
Zhihong Huang +4 more
doaj +1 more source
Polymer‐derived SiCN(O) fibre mats enable anchoring of ultra‐low amounts of transition metals for efficient alkaline oxygen evolution. The distinct behaviour of Fe‐ and Ni‐based fibres highlights the importance of metal phase and support interactions in tailoring catalytic behaviour.
Eranezhuth Wasan Awin +5 more
wiley +1 more source
Space–time proper generalized decompositions for the resolution of transient elastodynamic models [PDF]
In this paper, we investigate ability of proper generalized decomposition (PGD) to solve transient elastodynamic models in space–time domain. Classical methods use time integration schemes and an incremental resolution process.
BOUCINHA, Lucas +2 more
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Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Submitted to SIAM Journal on Scientific ComputingComputing low-rank approximations is one of the most important and well-studied problems involving tensors.
de Morais Goulart, José Henrique +1 more
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Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source
Tensor Decomposition with Missing Indices
How can we decompose a data tensor if the indices are partially missing?Tensor decomposition is a fundamental tool to analyze the tensor data.Suppose, for example, we have a 3rd-order tensor X where each element Xijk takes 1 if user i posts word j at ...
Kohei Hayashi, Yuto Yamaguchi
core +1 more source

