Structure-Preserving Low-Rank Model Reduction for Second-Order Time-Delay Systems
MathematicsThis paper introduces two model order-reduction techniques for second-order time-delay systems. The first method involves converting the second-order system into a first-order form, along with a set of related structure-preserving algorithms.
Man Tang, Zhi-Hua Xiao, Umair Zulfiqar
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Exploiting Low-Rank and Sparse Properties in Strided Convolution Matrix for Pansharpening
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Fusion of low spatial resolution multispectral (LR MS) and panchromatic (PAN) images to acquire high spatial resolution multispectral (HR MS) images has attracted increasing attention in recent years.
Feng Zhang +5 more
doaj +1 more source
Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions [PDF]
, 2023 Christian Aßmann +2 more
openalex +1 more source
Biomarker Detection in Association Studies: Modeling SNPs Simultaneously via Logistic ANOVA [PDF]
, 2014 In genome-wide association studies, the primary task is to detect biomarkers in the form of Single Nucleotide Polymorphisms (SNPs) that have nontrivial associations with a disease phenotype and some other important clinical/environmental factors. However,
Hu, Jianhua +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
Modified Linear Projection for Large Spatial Data Sets [PDF]
, 2014 Recent developments in engineering techniques for spatial data collection such as geographic information systems have resulted in an increasing need for methods to analyze large spatial data sets.
Hirano, Toshihiro
core
A Bayesian information criterion for singular models [PDF]
, 2016 We consider approximate Bayesian model choice for model selection problems that involve models whose Fisher-information matrices may fail to be invertible along other competing submodels.
Drton, Mathias, Plummer, Martyn
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Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
New elliptic solutions of the Yang-Baxter equation
, 2015 We consider finite-dimensional reductions of an integral operator with the elliptic hypergeometric kernel describing the most general known solution of the Yang-Baxter equation with a rank 1 symmetry algebra.
Chicherin, D. +2 more
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Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions [PDF]
, 2011 Low-rank matrix approximations, such as the truncated singular value decomposition and the rank-revealing QR decomposition, play a central role in data analysis and scientific computing.
Halko, N. +2 more
core +4 more sources