Results 231 to 240 of about 6,032,261 (302)
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Application of matrix semi-tensor product in chaotic image encryption
Journal of the Franklin Institute, 2019This paper proposes a new image encryption method based on matrix semi-tensor product theory. Using Hyperchaotic Lorenz system to generate chaotic sequences, and then using this chaotic sequence to generate two fixed scrambling matrices.
Xing-yuan Wang, Suo Gao
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Tensor Product Attention Is All You Need
arXiv.orgScaling language models to handle longer input sequences typically necessitates large key-value (KV) caches, resulting in substantial memory overhead during inference.
Yifan Zhang +6 more
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at - Automatisierungstechnik, 2018
In this paper, a novel way is proposed to investigate the transformation between Galois nonlinear feedback shift registers (NLFSRs) and Fibonacci NLFSRs.
Jianquan Lu +4 more
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In this paper, a novel way is proposed to investigate the transformation between Galois nonlinear feedback shift registers (NLFSRs) and Fibonacci NLFSRs.
Jianquan Lu +4 more
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Characteristic and Universal Tensor Product Kernels
Journal of machine learning research, 2017Maximum mean discrepancy (MMD), also called energy distance or N-distance in statistics and Hilbert-Schmidt independence criterion (HSIC), specifically distance covariance in statistics, are among the most popular and successful approaches to quantify ...
Z. Szabó, Bharath K. Sriperumbudur
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Matrix Calculus, Kronecker Product and Tensor Product
, 2019Matrix calculus, Kronecker product, and tensor product: , Matrix calculus, Kronecker product, and tensor product: , کتابخانههای دانشگاه ...
Y. Hardy, W. Steeb
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The tensor phase under a tensor–tensor product
Computational and Applied MathematicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ding, Jiadong +3 more
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Smooth Tensor Product for Tensor Completion
IEEE Transactions on Image ProcessingLow-rank tensor completion (LRTC) has shown promise in processing incomplete visual data, yet it often overlooks the inherent local smooth structures in images and videos. Recent advances in LRTC, integrating total variation regularization to capitalize on the local smoothness, have yielded notable improvements.
Tongle Wu, Jicong Fan
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Krylov subspace methods to solve a class of tensor equations via the Einstein product
Numerical Linear Algebra with Applications, 2019This paper is concerned with some of the well‐known iterative methods in their tensor forms to solve a class of tensor equations via the Einstein product.
Baohua Huang, Yajun Xie, Changfeng Ma
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Tensor inversion and its application to the tensor equations with Einstein product
Linear and multilinear algebra, 2018Recently, the inverse of an even-order square tensor has been put forward in [Brazell M, Li N, Navasca C, Tamon C. Solving multilinear systems via tensor inversion. SIAM J Matrix Anal Appl.
Mao-lin Liang, B. Zheng, Ruijuan Zhao
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