Kronecker product linear exponent AR(1) correlation structures for multivariate repeated measures. [PDF]
PLoS ONE, 2014 Longitudinal imaging studies have moved to the forefront of medical research due to their ability to characterize spatio-temporal features of biological structures across the lifespan.
Sean L Simpson +3 more
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Multimodal graph fusion with statistically guided parsimonious descriptor selection for molecular property prediction [PDF]
Journal of CheminformaticsGraph convolutional networks (GCN) are effective for learning molecular representations, but their reliance on local message passing and simple feature concatenation limits their ability to capture global physicochemical properties.
Yoonsuk Jang +3 more
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Neural computation of visual imaging based on Kronecker product in the primary visual cortex [PDF]
BMC Neuroscience, 2010 Background What kind of neural computation is actually performed by the primary visual cortex and how is this represented mathematically at the system level? It is an important problem in the visual information processing, but has not been well answered.
Guozheng Yao +4 more
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A multi-GPU enabled solver in Kronecker product form for multiphysics problems [PDF]
Scientific ReportsModern engineering and scientific computing often requires solving sparse linear systems containing point-block matrix to model multiphysics problems. The space-time parallel method is popular and attractive in fluid dynamics, fitting parallel computers ...
Wenpeng Ma +3 more
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Measurement bias detection with Kronecker product restricted models for multivariate longitudinal data when the number of measurement occasions is large [PDF]
Frontiers in Psychology, 2014 Longitudinal measurement invariance is usually investigated with a longitudinal factor model. However, with multiple measurement occasions, the number of parameters to be estimated increases with a multiple of the number of measurement occasions.
Mathilde Gertrude Esther Verdam +3 more
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Finding Subsampling Index Sets for Kronecker Product of Unitary Matrices for Incoherent Tight Frames
Applied Sciences, 2022 Frames are recognized for their importance in many fields of communications, signal processing, quantum physics, and so on. In this paper, we design an incoherent tight frame by selecting some rows of a matrix that is the Kronecker product of Fourier and
Jooeun Kwon, Nam Yul Yu
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Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition [PDF]
AAAI Conference on Artificial Intelligence, 2021 Modern Convolutional Neural Network (CNN) architectures, despite their superiority in solving various problems, are generally too large to be deployed on resource constrained edge devices.
Marawan Gamal Abdel Hameed +3 more
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On the history of the kronecker product [PDF]
Linear and Multilinear Algebra, 1983 History reveals that what is today called the Kronecker product should be called the Zehfuss product.
Henderson, Harold V. +2 more
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Partition algebra and Kronecker product [PDF]
Discrete Mathematics & Theoretical Computer Science, 2013 We propose a new approach to study the Kronecker coefficients by using the Schur–Weyl duality between the symmetric group and the partition algebra.
Christopher Bowman +2 more
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Mathematics, 2022 This paper is devoted to proposing a modified conjugate residual method for solving the generalized coupled Sylvester tensor equations. To further improve its convergence rate, we derive a preconditioned modified conjugate residual method based on the ...
Tao Li, Qing‐Wen Wang, Xin-Fang Zhang
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