Results 61 to 70 of about 13,997,719 (325)
Manifold Constrained Low-Rank Decomposition
, 2017 Low-rank decomposition (LRD) is a state-of-the-art method for visual data reconstruction and modelling. However, it is a very challenging problem when the image data contains significant occlusion, noise, illumination variation, and misalignment from ...
Chen, Chen +3 more
core +1 more source
IEEE Access, 2023 Recognizing the multiple categories of an high-resolution (HR) aerial photos is an indispensable technique in geoscience and remote sensing. In this work, a perceptual low-rank algorithm combined with a geometry-preserving feature selection (FS) is ...
Junwu Zhou, Fuji Ren
doaj +1 more source
Decomposition of homogeneous polynomials with low rank [PDF]
, 2010 Let $F$ be a homogeneous polynomial of degree $d$ in $m+1$ variables defined over an algebraically closed field of characteristic zero and suppose that $F$ belongs to the $s$-th secant varieties of the standard Veronese variety $X_{m,d}\subset \mathbb{P}^
A. Bernardi +15 more
core +6 more sources
Low-Rank Matrix Factorization Method for Multiscale Simulations: A Review
IEEE Open Journal of Antennas and Propagation, 2021 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
, 2018 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
Sensors, 2016 The detection of a moving target using an IR-UWB Radar involves the core task of separating the waves reflected by the static background and by the moving target.
Donatien Sabushimike +5 more
doaj +1 more source
Journal of Mathematical Physics, 2023 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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
Preliminary study on fully replacing bauxite with secondary aluminum ash in ceramsite proppants
Case Studies in Chemical and Environmental EngineeringThis 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
Survey on Probabilistic Models of Low-Rank Matrix Factorizations
Entropy, 2017 Low-rank matrix factorizations such as Principal Component Analysis (PCA), Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF) are a large class of methods for pursuing the low-rank approximation of a given data matrix.
Jiarong Shi, Xiuyun Zheng, Wei Yang
doaj +1 more source