Results 51 to 60 of about 1,077,071 (292)

A Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios

open access: yesRemote Sensing, 2023
The present work, unlike others, does not try to reduce the noise in hyperspectral images to increase the semantic segmentation performance metrics; rather, we present a classification framework for noisy Hyperspectral Images (HSI), studying the ...
Efraín PADILLA-ZEPEDA   +2 more
semanticscholar   +1 more source

Watermark Hiding in HDR image based on Visual Saliency and Tucker decomposition

open access: yesKarbala International Journal of Modern Science, 2023
Recently, great attention has been paid to high dynamic range (HDR) images because of their richly detailed and high dynamic range of intensity. The need for pre-processing of the HDR image format with tone mapping (TM) operators makes it unique; the TM ...
Roa'a M. Al_airaji   +2 more
semanticscholar   +1 more source

Scalable Symmetric Tucker Tensor Decomposition

open access: yesSIAM Journal on Matrix Analysis and Applications
We study the best low-rank Tucker decomposition of symmetric tensors. The motivating application is decomposing higher-order multivariate moments. Moment tensors have special structure and are important to various data science problems. We advocate for projected gradient descent (PGD) method and higher-order eigenvalue decomposition (HOEVD ...
Ruhui Jin   +3 more
openaire   +3 more sources

Gap-Filling of NDVI Satellite Data Using Tucker Decomposition: Exploiting Spatio-Temporal Patterns

open access: yesRemote Sensing, 2021
Remote sensing satellite images in the optical domain often contain missing or misleading data due to overcast conditions or sensor malfunctioning, concealing potentially important information. In this paper, we apply expectation maximization (EM) Tucker
Andri Freyr Þórðarson   +4 more
doaj   +1 more source

Parallel Randomized Tucker Decomposition Algorithms

open access: yesSIAM Journal on Scientific Computing
The Tucker tensor decomposition is a natural extension of the singular value decomposition (SVD) to multiway data. We propose to accelerate Tucker tensor decomposition algorithms by using randomization and parallelization. We present two algorithms that scale to large data and many processors, significantly reduce both computation and communication ...
Rachel Minster, Zitong Li, Grey Ballard
openaire   +3 more sources

Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma

open access: yesAdvanced Engineering Materials, EarlyView.
The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie   +4 more
wiley   +1 more source

Tensor Regression Using Low-Rank and Sparse Tucker Decompositions

open access: yesSIAM Journal on Mathematics of Data Science, 2020
This paper studies a tensor-structured linear regression model with a scalar response variable and tensor-structured predictors, such that the regression parameters form a tensor of order $d$ (i.e., a $d$-fold multiway array) in $\mathbb{R}^{n_1 \times n_2 \times \cdots \times n_d}$.
Talal Ahmed   +2 more
openaire   +3 more sources

Tailoring the Properties of Functional Materials With N‐Oxides

open access: yesAdvanced Functional Materials, EarlyView.
The properties of materials bearing N‐oxide groups are often dominated by the polar N+─O− bond. It provides hydrophilicity, selective ion‐binding, electric conductivity, or antifouling properties. Many of the underlying mechanisms have only recently been discovered, and the interest in N‐oxide materials is rapidly growing.
Timo Friedrich   +5 more
wiley   +1 more source

Living Liquid Metal Composites Embedded with Electrogenic Endospores for Next‐Generation Bioelectronics

open access: yesAdvanced Functional Materials, EarlyView.
A new class of living liquid metal composites is introduced, embedding Bacillus subtilis endospores into eutectic gallium–indium (EGaIn). The spores enhance droplet coalescence, strengthen interfacial conductivity, and provide on‐demand electrogenic functionality after germination. The composites exhibit high conductivity, self‐healing, patternability,
Maryam Rezaie, Yang Gao, Seokheun Choi
wiley   +1 more source

High Dynamic Range Image Watermarking Based on Tucker Decomposition

open access: yesIEEE Access, 2019
High dynamic range (HDR) imaging technique has received much attentions in the recent years for its abundant details and wide dynamic range of luminance.
Mei Yu   +4 more
doaj   +1 more source

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