Results 31 to 40 of about 43,727 (260)
IEEE Access, 2020 Existing Dictionary Learning and Sparse Coding (DLSC) algorithms for Symmetric Positive Definite (SPD) matrices usually adopt Reproducing Kernel Hilbert Space as workspace to perform necessary linear operations.
Yang Zhang, Yuesheng Zhu
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Direct multiplicative methods for sparse matrices. Quadratic programming [PDF]
Компьютерные исследования и моделирование, 2018 A numerically stable direct multiplicative method for solving systems of linear equations that takes into account the sparseness of matrices presented in a packed form is considered.
Anastasiya Borisovna Sviridenko
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An introduction to Sparse Matrices
Irish Mathematical Society Bulletin, 1985 The author gives a concise introduction to sparse matrices. First, the history and goals of sparse matrices are outlined. (The reviewer's book Sparse matrices (1973; Zbl 0262.65021) which was the first text in this area is inadvertently not mentioned.) The second part of this paper deals with a description of storage schemes.
openaire +2 more sources
Sparse Recovery With Block Multiple Measurement Vectors Algorithm
IEEE Access, 2019 This paper investigates the performance of the block multiple measurement vectors (BMMV) algorithm in reconstructing block joint sparse matrices. We prove that if 41) obeys block restricted isometry property with 8 K+1 <; Nf +1 , then BMMV perfectly ...
Yanli Shi, Libo Wang, Rong Luo
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
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CoD-SELL: A Non-Zero Location Dictionary Compression Sparse Matrix Format for SpMV on GPU
IEEE AccessSparse matrix-vector multiplication (SpMV) is a fundamental computational kernel extensively utilized in scientific computing. To accelerate SpMV, various sparse matrix formats have been proposed.
Shun Murakami +4 more
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Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
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Fast Matrix Multiplication with Big Sparse Data
Cybernetics and Information Technologies, 2017 Big Data becameabuzz word nowadays due to the evolution of huge volumes of data beyond peta bytes. This article focuses on matrix multiplication with big sparse data.
Somasekhar G., Karthikeyan K.
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Bayesian mmWave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures
IEEE Access, 2019 We consider the problem of channel estimation for millimeter wave (mmWave) systems, where both the base station and the mobile station employ a single radio frequency (RF) chain to reduce the hardware cost and power consumption. Recent real-world channel
Kaihui Liu +3 more
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Direct multiplicative methods for sparse matrices. Newton methods [PDF]
Компьютерные исследования и моделирование, 2017 We consider a numerically stable direct multiplicative algorithm of solving linear equations systems, which takes into account the sparseness of matrices presented in a packed form. The advantage of the algorithm is the ability to minimize the filling of
Anastasiya Borisovna Sviridenko
doaj +1 more source