Results 41 to 50 of about 196,468 (204)
Nonnegative Tensor Completion Via Integer Optimization
Unlike matrix completion, tensor completion does not have an algorithm that is known to achieve the information-theoretic sample complexity rate. This paper develops a new algorithm for the special case of completion for nonnegative tensors. We prove that our algorithm converges in a linear (in numerical tolerance) number of oracle steps, while ...
Caleb Bugg, Chen Chen 0026, Anil Aswani
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A new bound for the spectral radius of nonnegative tensors
By estimating the ratio of the smallest component and the largest component of a Perron vector, we provide a new bound for the spectral radius of a nonnegative tensor.
Suhua Li, Chaoqian Li, Yaotang Li
doaj +1 more source
Some Properties of the Strong Primitivity of Nonnegative Tensors [PDF]
We show that an order m dimension 2 tensor is primitive if and only if its majorization matrix is primitive, and then we obtain the characterization of order m dimension 2 strongly primitive tensors and the bound of the strongly primitive degree. Furthermore, we study the properties of strongly primitive tensors with n≥3 and propose some problems for ...
Lihua You, Yafei Chen, Pingzhi Yuan
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Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion [PDF]
Recent approaches to the tensor completion problem have often overlooked the nonnegative structure of the data. We consider the problem of learning a nonnegative low-rank tensor, and using duality theory, we propose a novel factorization of such tensors.
Naram, Jayadev +2 more
core +1 more source
Symmetric nonnegative tensors and copositive tensors
We first prove two new spectral properties for symmetric nonnegative tensors. We prove a maximum property for the largest H-eigenvalue of a symmetric nonnegative tensor, and establish some bounds for this eigenvalue via row sums of that tensor. We show that if an eigenvalue of a symmetric nonnegative tensor has a positive H-eigenvector, then this ...
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Reduction of Feynman integrals in the parametric representation
In this paper, the reduction of Feynman integrals in the parametric representation is considered. This method proves to be more efficient than the integration-by-part (IBP) method in the momentum space.
Wen Chen
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Detecting and delineating hot spots in data from radiation sensors is required in applications ranging from monitoring large geospatial areas to imaging small objects in close proximity.
Michael G. Thomason, Benjamin S. Jordan
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Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China
ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley +1 more source
The Perturbation Bound for the Spectral Radius of a Nonnegative Tensor [PDF]
We study the perturbation bound for the spectral radius of an mth-order n-dimensional nonnegative tensor A. The main contribution of this paper is to show that when A is perturbed to a nonnegative tensor A~ by ΔA, the absolute difference between the spectral radii of A and A~ is bounded by the largest magnitude of the ratio of the ith component of ΔAxm-
Wen Li 0006, Michael K. Ng 0001
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ABSTRACT This narrative review examines the intersection of artificial intelligence, environmental, social and governance (ESG) strategies and sustainable value creation in contemporary business environments. As organisations face mounting pressure to demonstrate environmental stewardship, social responsibility and governance excellence, artificial ...
Emmanuel Junior Tenakwah +2 more
wiley +1 more source

