Results 11 to 20 of about 1,179,942 (315)
Givens rotations for QR decomposition, SVD and PCA over database joins [PDF]
The VLDB journal, 2022 This article introduces FiGaRo, an algorithm for computing the upper-triangular matrix in the QR decomposition of the matrix defined by the natural join over relational data.
Dan Olteanu +2 more
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An asymptotic behavior of QR decomposition
Linear Algebra and its Applications, 2007 The \(QR\) decomposition of a nonsingular \(X\in\mathbb{C}_{n\times n}\) asserts that \(X=QR\), where \(Q\in\mathbb{C}_{n\times n}\) is unitary and \(R\in\mathbb{C}_{n\times n}\) is upper triangular with positive diagonal entries, and the decomposition is unique. Given a matrix \(A\in\mathbb{C}_{n\times n}\), let \(A(i| j)\) denote the submatrix formed
Huang, Huajun, Tam, Tin-Yau
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Optica Applicata, 2022 In this paper, an asymmetric audio and image encryption mechanism using QR decomposition and random modulus decomposition (RD) in the Fresnel domain is proposed. The audio file is recorded as a vector and converted to a two-dimensional array to act as an
S. Anjana +3 more
semanticscholar +2 more sources
IEEE Transactions on Neural Networks and Learning Systems, 2019 Low-rank matrix completion aims to recover matrices with missing entries and has attracted considerable attention from machine learning researchers. Most of the existing methods, such as weighted nuclear-norm-minimization-based methods and Qatar Riyal ...
Qing Liu +5 more
semanticscholar +2 more sources
Smooth QR Decomposition of Polynomial Matrices [PDF]
2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023 This paper presents a novel algorithm for determining a compact order QR decomposition of a polynomial matrix, where both the Q and R factors themselves are approximated by polynomial matrices.
Khattak, Faizan A. +3 more
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Flood Forecasting Method Based on Improved VMD-FOS-QR-RBL
IEEE Access, 2023 To improve the accuracy, reliability and validity of flood prediction models, this study proposes a regularized broad learning (RBL) model based on an improved variational mode decomposition (VMD).
Yang Liu +4 more
doaj +1 more source
LU-Cholesky QR algorithms for thin QR decomposition [PDF]
Parallel Computing, 2020 Abstract This paper aims to propose the LU-Cholesky QR algorithms for thin QR decomposition (also called economy size or reduced QR decomposition). CholeskyQR is known as a fast algorithm employed for thin QR decomposition, and CholeskyQR2 aims to improve the orthogonality of a Q-factor computed by CholeskyQR. Although such Cholesky QR algorithms can
Takeshi Terao +2 more
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Drought Prediction Method Based on an Improved CEEMDAN-QR-BL Model
IEEE Access, 2021 In this study, a new broad learning (BL) model based on an improved complete ensemble empirical mode decomposition adaptive noise (CEEMDAN) is proposed to resolve the low accuracy, poor robustness, and long delay problems that are present in current ...
Yang Liu, Lihu Wang
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Givens QR Decomposition over Relational Databases [PDF]
, 2022 This paper introduces Figaro, an algorithm for computing the upper-triangular matrix in the QR decomposition of the matrix defined by the natural join over a relational database. The QR decomposition lies at the core of many linear algebra techniques and
Olteanu, Dan; https://orcid.org/ +2 more
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Consideration of a robust watermarking algorithm for color image using improved QR decomposition
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021 In order to protect the digital image copyright, it is necessary to design a robust watermarking algorithm. To achieve this purpose, a novel color image watermarking scheme based on an improved QR decomposition is proposed in this paper.
Phuong Thi Nha +2 more
semanticscholar +1 more source