Results 51 to 60 of about 12,418,444 (305)
Low-Rank Matrix Factorization Method for Multiscale Simulations: A Review
In this paper, a review of the low-rank factorization method is presented, with emphasis on their application to multiscale problems. Low-rank matrix factorization methods exploit the rankdeficient nature of coupling impedance matrix blocks between two ...
Mengmeng Li +5 more
doaj +1 more source
Quantization for Low-Rank Matrix Recovery
We study Sigma-Delta quantization methods coupled with appropriate reconstruction algorithms for digitizing randomly sampled low-rank matrices. We show that the reconstruction error associated with our methods decays polynomially with the oversampling ...
Lybrand, Eric, Saab, Rayan
core +1 more source
We present a method to generate all fusion rings of a specific rank and multiplicity. This method generated exhaustive lists of fusion rings up to order 9 for several multiplicities. We introduce a class of non-commutative fusion rings based on a group with transitive action on a set. This construction generalises the Tambara–Yamagami (TY) and Haagerup-
G. Vercleyen, J. K. Slingerland
openaire +2 more sources
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
wiley +1 more source
Preliminary study on fully replacing bauxite with secondary aluminum ash in ceramsite proppants
This study investigates using secondary aluminum ash, a solid waste, to fully replace bauxite as the main raw material, with kaolin as a binder to prepare ceramsite proppants.
Peipeng Yang +4 more
doaj +1 more source
Neural Subspace Learning for Surface Defect Detection
Surface defect inspection is a key technique in industrial product assessments. Compared with other visual applications, industrial defect inspection suffers from a small sample problem and a lack of labeled data.
Bin Liu +3 more
doaj +1 more source
Robust Regression Model Based on Low Rank Representation [PDF]
The existing linear regression method cannot effectively deal with noise and outliers.To address the problem,this paper establishes the LR RRM model by combining Low Rank Representation(LRR) and robust regression methods.The LRR method is used to detect ...
WANG Lijuan, LI Keai, HAO Zhifeng, CAI Ruichu, YIN Ming
doaj +1 more source
Exploiting the structure effectively and efficiently in low rank matrix recovery
Low rank model arises from a wide range of applications, including machine learning, signal processing, computer algebra, computer vision, and imaging science.
Absil +109 more
core +2 more sources
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small +3 more
wiley +1 more source
To reduce solid waste production and enable the synergistic conversion of solid waste into high-value-added products, we introduce a novel, sustainable, and ecofriendly method.
Kaixing Gao +8 more
doaj +1 more source

