Results 81 to 90 of about 914,477 (196)

The tensor rank of tensor product of two three-qubit W states is eight

open access: yes, 2017
We show that the tensor rank of tensor product of two three-qubit W states is not less than eight. Combining this result with the recent result of M. Christandl, A. K. Jensen, and J.
Chen, Lin, Friedland, Shmuel
core  

Enhanced Multilinear PCA for Efficient Image Analysis and Dimensionality Reduction: Unlocking the Potential of Complex Image Data

open access: yesMathematics
This paper presents an Enhanced Multilinear Principal Component Analysis (EMPCA) algorithm, an improved variant of the traditional Multilinear Principal Component Analysis (MPCA) tailored for efficient dimensionality reduction in high-dimensional data ...
Tianyu Sun, Lang He, Xi Fang, Liang Xie
doaj   +1 more source

Classification of Multi-Frequency Polarimetric SAR Images Based on Multi-Linear Subspace Learning of Tensor Objects

open access: yesRemote Sensing, 2015
One key problem for the classification of multi-frequency polarimetric SAR images is to extract target features simultaneously in the aspects of frequency, polarization and spatial texture.
Chun Liu, Junjun Yin, Jian Yang, Wei Gao
doaj   +1 more source

P-Tensors, P$_0$-Tensors, and Tensor Complementarity Problem

open access: yes, 2015
The concepts of P- and P$_0$-matrices are generalized to P- and P$_0$-tensors of even and odd orders via homogeneous formulae. Analog to the matrix case, our P-tensor definition encompasses many important classes of tensors such as the positive definite tensors, the nonsingular M-tensors, the nonsingular H-tensors with positive diagonal entries, the ...
Ding, Weiyang, Luo, Ziyan, Qi, Liqun
openaire   +2 more sources

Navigated instrumentation and ligament tensioning device enhances initial gap acquisition during total knee arthroplasty procedure: A cadaveric study

open access: yesJournal of Experimental Orthopaedics
Purpose Gap‐balanced total knee arthroplasty (TKA) technique relies on initial ligament evaluation, particularly in patient‐specific implantation using computer‐assisted technologies.
François Boux de Casson   +7 more
doaj   +1 more source

A Novel Weak Fault Feature Extraction Method Based on Tensor Decomposition Model for Bearings

open access: yesModelling
The problem of extracting bearing weak fault features under variable-speed conditions with strong background noise interference remains challenging due to the limitations of existing feature extraction methods.
Chengju Dong, Yue Wu, Huiming Jiang
doaj   +1 more source

Vector–Tensor Duality [PDF]

open access: yesModern Physics Letters A, 1997
A dynamical non-Abelian two-form potential gives masses to vector bosons via a topological coupling.1 Unlike in the Abelian case, the two-form cannot be dualized to Goldstone bosons. Duality is restored by coupling a flat connection to the theory in a particular way, and the new action is then dualized to a nonlinear sigma model.
openaire   +2 more sources

Distribution of eddy electric currents in an anisotropic electrically conductive transformer

open access: yesТехнологія та конструювання в електронній апаратурі
This paper investigates the formation and spatial distribution of eddy electric currents (EEC) within the structure of an anisotropic electrically conductive transformer (AECT), which represents a promising functional component for modern ...
Anatoly Ashcheulov, Mykola Derevianchuk
doaj   +1 more source

Tensor-Train Fuzzy Deep Computation Model for Citywide Traffic Flow Prediction

open access: yesIEEE Access, 2019
Accuracy is extensively considered a key issue for traffic big data prediction in a vehicular cyber-physical system (VCPS). Deep learning with super performance has been successfully applied to traffic prediction for feature learning.
Weihong Chen   +3 more
doaj   +1 more source

Tensor Block-Sparsity Based Representation for Spectral-Spatial Hyperspectral Image Classification

open access: yesRemote Sensing, 2016
Recently, sparse representation has yielded successful results in hyperspectral image (HSI) classification. In the sparse representation-based classifiers (SRCs), a more discriminative representation that preserves the spectral-spatial information can be
Zhi He, Jun Li, Lin Liu
doaj   +1 more source

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