Results 71 to 80 of about 36,142 (194)

Some inequalities on the spectral radius of nonnegative tensors

open access: yesOpen Mathematics, 2020
The eigenvalues and the spectral radius of nonnegative tensors have been extensively studied in recent years. In this paper, we investigate the analytic properties of nonnegative tensors and give some inequalities on the spectral radius.
Ma Chao   +3 more
doaj   +1 more source

Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition

open access: yesRemote Sensing, 2021
Fusing a low spatial resolution hyperspectral image (HSI) with a high spatial resolution multispectral image (MSI), aiming to produce a super-resolution hyperspectral image, has recently attracted increasing research interest.
Marzieh Zare   +3 more
doaj   +1 more source

The Voting Premium

open access: yesThe Journal of Finance, EarlyView.
ABSTRACT We develop a unified theory of blockholder governance and the voting premium in a setting without takeovers or controlling shareholders. A voting premium emerges when a minority blockholder can influence shareholder composition by accumulating votes and buying shares from dissenting shareholders.
DORON LEVIT, NADYA MALENKO, ERNST MAUG
wiley   +1 more source

MONTI: A Multi-Omics Non-negative Tensor Decomposition Framework for Gene-Level Integrative Analysis

open access: yesFrontiers in Genetics, 2021
Multi-omics data is frequently measured to enrich the comprehension of biological mechanisms underlying certain phenotypes. However, due to the complex relations and high dimension of multi-omics data, it is difficult to associate omics features to ...
Inuk Jung   +6 more
doaj   +1 more source

The Mixed Gamble of Competitive Dynamics in Family‐Controlled Firms

open access: yesJournal of Management Studies, EarlyView.
Abstract We extend the mixed gamble perspective to explain how family‐controlled firms frame and evaluate the difficult trade‐off between potential gains and losses in financial wealth (FW) and socioemotional wealth (SEW) when pursuing portfolio‐level strategic initiatives, as captured by competitive aggressiveness and complexity.
Jaeyoung Cho   +2 more
wiley   +1 more source

New Sufficient Condition for the Positive Definiteness of Fourth Order Tensors

open access: yesMathematics, 2018
In this paper, we give a new Z-eigenvalue localization set for Z-eigenvalues of structured fourth order tensors. As applications, a sharper upper bound for the Z-spectral radius of weakly symmetric nonnegative fourth order tensors is obtained and a new Z-
Jun He   +3 more
doaj   +1 more source

The extremal spectral radii of $k$-uniform supertrees

open access: yes, 2014
In this paper, we study some extremal problems of three kinds of spectral radii of $k$-uniform hypergraphs (the adjacency spectral radius, the signless Laplacian spectral radius and the incidence $Q$-spectral radius). We call a connected and acyclic $k$
Li, Honghai, Qi, Liqun, Shao, Jiayu
core   +1 more source

Generalized nonnegative structured Kruskal tensor regression

open access: yesSignal Processing
This paper introduces Generalized Nonnegative Structured Kruskal Tensor Regression (NS-KTR), a novel tensor regression framework that enhances interpretability and performance through mode-specific hybrid regularization and nonnegativity constraints.
Xinjue Wang   +3 more
openaire   +3 more sources

Patterns of Regional Firm Mobility in Germany: Urbanization, Suburbanization, or Counterurbanization?

open access: yesJournal of Regional Science, EarlyView.
ABSTRACT Firms are not necessarily geographically static, in fact, they sometimes move across space within an economy. We define three possible destination types for relocating firms: major cities (urbanization), urbanized districts (suburbanization), and rural districts (counterurbanization).
Benedikt Schröpf, Tim Kovalenko
wiley   +1 more source

Multispectral Transforms Using Convolution Neural Networks for Remote Sensing Multispectral Image Compression

open access: yesRemote Sensing, 2019
A multispectral image is a three-order tensor since it is a three-dimensional matrix, i.e., one spectral dimension and two spatial position dimensions. Multispectral image compression can be achieved by means of the advantages of tensor decomposition (TD)
Jin Li, Zilong Liu
doaj   +1 more source

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