Results 81 to 90 of about 10,049,409 (261)
Robust Recovery of Corrupted Image Data Based on $L_{1-2}$ Metric
IEEE Access, 2018 For removing noises and recovering intrinsic structure from corrupted image data, a classic modeling approach is based on sparsity assumption. In traditionally, the sparsity is measured by L1-norm.
Fanlong Zhang +3 more
doaj +1 more source
Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham +7 more
wiley +1 more source
On the Identification of Sparse plus Low-rank Graphical Models [PDF]
, 2022 This thesis proposes an identification procedure for periodic, Gaussian, stationary reciprocal processes, under the assumption that the conditional dependence relations among the observed variables are mainly due to a limited number of latent variables ...
Alpago, Daniele
core
InRank: Incremental Low-Rank Learning [PDF]
, 2023 The theory of greedy low-rank learning (GLRL) aims to explain the impressive generalization capabilities of deep learning. It proves that stochastic gradient-based training implicitly regularizes neural networks towards low-rank solutions through a ...
Anandkumar, Anima +4 more
core +1 more source
Efficient Performance Monitoring for Ubiquitous Virtual Networks Based on Matrix Completion
IEEE Access, 2018 Inspired by the concept of software-defined network and network function virtualization, vast virtual networks are generated to isolate and share wireless resources for different network operators.
Xinheng Wang +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric refractory immune thrombocytopenia (rITP) is generally characterized by persistent thrombocytopenia and failure to achieve a sustained response to multiple standard therapies. We report a 4‐year‐old female with congenital tufting enteropathy, post‐intestinal transplant patient on immunosuppressants, who developed severe rITP ...
Sarah Hsieh +4 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters [PDF]
In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of 2S ...
Nobile, Fabio +2 more
core +3 more sources
Structured low-rank approximation with missing data
The approach of SIAM J. Matrix Anal. Appl., 26(4):1083--1099 for solving structured total least squares problems is generalized to weighted structured low-rank approximation with missing data. The method proposed is based on elimination of the correction
Markovsky, Ivan, Usevich, Konstantin
core +1 more source
An Accelerated Residual ADI Method for Large-Scale Low-Rank Riccati Equations
MathematicsThis paper considers the acceleration of the residual alternating direction implicit (RADI) iteration for solving large-scale low-rank Riccati matrix equations arising from time-invariant control systems.
Bo Yu +4 more
doaj +1 more source