Results 71 to 80 of about 196,468 (204)

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

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

Cross‐Prudence and Optimal Prevention

open access: yesInternational Economic Review, EarlyView.
ABSTRACT In this paper, we study optimal prevention in the presence of a correlated nonfinancial background risk. Under positive correlation, cross‐prudence in the nonfinancial attribute reduces optimal prevention. We establish this result in the most direct extension of the standard prevention problem with binary marginal distributions and show that ...
Jingyuan Li, Richard Peter, Lin Zhou
wiley   +1 more source

Some inequalities for nonnegative tensors [PDF]

open access: yesJournal of Inequalities and Applications, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, Jun   +2 more
openaire   +2 more sources

A Quantile Model of Firm Investment

open access: yesInternational Economic Review, EarlyView.
ABSTRACT Are firms risk averse? We propose a dynamic model of firm investment under uncertainty that captures firms' risk attitudes through quantile preferences. The firm maximizes its present value, defined as current profits and investment plus the discounted value of the τ$\tau$‐quantile of its value next period.
Heitor Almeida   +3 more
wiley   +1 more source

Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing

open access: yes, 2018
Hyperspectral unmixing aims at decomposing a hyperspectral image (HSI) into a number of constituted materials and associated proportions. Recently, nonnegative tensor factorization (NTF) based methods have been proved effective and natural for ...
Jingzhou Chen   +7 more
core   +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

Debt Aversion: Theory and Measurement

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We propose a model of debt aversion and conduct an experiment with real debt and saving contracts to jointly elicit debt aversion and preferences over time, risk, and intertemporal losses. We find that 89% of participants are debt averse, which strongly influences their choices.
David Albrecht, Thomas Meissner
wiley   +1 more source

Worker Heterogeneity and the Effect of Noncompetes on Firm Performance

open access: yesJournal of Economics &Management Strategy, EarlyView.
ABSTRACT Using staggered state‐level changes in noncompete enforceability, we document that reduced enforcement increases profitability, valuation, productivity, and plant‐level growth in knowledge‐worker‐intensive firms relative to other firms. Critically, these gains are concentrated among the most productive knowledge‐worker firms, consistent with ...
Zhaozhao He, Modupe Babajide Wintoki
wiley   +1 more source

Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization

open access: yes, 2021
International audienceThis paper is concerned with improving the empirical convergence speed of block-coordinate descent algorithms for approximate nonnegative tensor factorization (NTF).
Andersen Man Shun Ang   +9 more
core   +2 more sources

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