Results 1 to 10 of about 19,606 (100)
AN ORDER-P TENSOR MULTIPLICATION WITH CIRCULANT STRUCTURE
Research on mathematical operations involving multidimensional arrays or tensors has increased along with the growing applications involving multidimensional data analysis. The -product of order- tensor is one of tensor multiplications.
Itsar Mangngiri +2 more
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Ecosystem services (ESs) are a multiple whole composed of multiple services and their multiple relations, which can be expressed as tensors (multiple functions of multiple vectors).
Peng Zhang +9 more
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Tensor‐based mobile channel tracking for IRS‐aided transmission systems
In communication and sensing integrations, an intelligent reflective surface (IRS) will provide an auxiliary wireless link to enhance coverage and information transmission quality.
Ying Su, Jing Zhang
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Motivated by a ternary generalization of the Pauli exclusion principle proposed by R. Kerner, we propose a notion of a Z3-skew-symmetric covariant SO(3)-tensor of the third order, consider it as a 3-dimensional matrix, and study the geometry of the 10 ...
Viktor Abramov, Olga Liivapuu
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Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition
In this article, an effective approach is proposed to recognise the 2D+3D facial expression automatically based on orthogonal Tucker decomposition using factor priors (OTDFPFER).
Yunfang Fu +4 more
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A Path-Based Partial Information Decomposition
Based on the conceptual basis of information theory, we propose a novel mutual information measure—‘path-based mutual information’. This information measure results from the representation of a set of random variables as a probabilistic graphical model ...
David Sigtermans
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Dictionary-Based Low-Rank Approximations and the Mixed Sparse Coding Problem
Constrained tensor and matrix factorization models allow to extract interpretable patterns from multiway data. Therefore crafting efficient algorithms for constrained low-rank approximations is nowadays an important research topic.
Jeremy E. Cohen
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Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification
Over the past decades, there has been an increase of attention to adapting machine learning methods to fully exploit the higher order structure of tensorial data.
Cristian Minoccheri +4 more
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A Tensor Framework for Multi-Linear Complex MMSE Estimation
Tensors are higher order generalization of vectors and matrices which can be used to describe signals indexed by more than two indices. This paper introduces a tensor framework for minimum mean square error (MMSE) estimation for multi-domain signals and ...
Divyanshu Pandey, Harry Leib
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The classification of Tangut characters plays a significant role in Western Xia research, and yet it is still a great challenge to recognize Tangut characters accurately due to the less inter‐class similarity and smaller intra‐class variation of Tangut ...
Ziping Ma, Jinlin Ma
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