Results 11 to 20 of about 1,183,522 (244)
Journal of Computational and Applied Mathematics, 1996 The problem of finding the greatest common divisor (GCD) of a given polynomial set has interested mathematicians for a very long time and has widespread applications in several branches of control theory, matrix theory, statistics, network theory.
Mitrouli, M +2 more
openaire +3 more sources
Bayesian source separation with mixture of Gaussians prior for sources and Gaussian prior for mixture coefficients [PDF]
, 2001 In this contribution, we present new algorithms to source separation for the case of noisy instantaneous linear mixture, within the Bayesian statistical framework.
Mohammad-Djafari, Ali, Snoussi, Hichem
core +3 more sources
Group-theoretic algorithms for matrix multiplication [PDF]
, 2005 We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and Umans, and for the first time use it to derive algorithms asymptotically faster than the standard algorithm.
Cohn, Henry +3 more
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Wireless Sensor Network Localization via Matrix Completion Based on Bregman Divergence
Sensors, 2018 One of the main challenges faced by wireless sensor network (WSN) localization is the positioning accuracy of the WSN node. The existing algorithms are arduous to use for dealing with the pulse noise that is universal and ineluctable in practical ...
Chunsheng Liu, Hong Shan, Bin Wang
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Applied Sciences, 2023 This paper introduces a novel speech enhancement approach called dominant columns group orthogonalization of the sensing matrix (DCGOSM) in compressive sensing (CS).
Vasundhara Shukla, Preety D. Swami
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Quantum-inspired algorithms in practice [PDF]
Quantum, 2020 We study the practical performance of quantum-inspired algorithms for recommendation systems and linear systems of equations. These algorithms were shown to have an exponential asymptotic speedup compared to previously known classical methods for ...
Juan Miguel Arrazola +3 more
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Crop Journal, 2020 Owing to high power and accuracy and low false positive rate in our multi-locus approaches for genome-wide association studies and linkage analyses, these approaches have attracted considerable attention in plant and animal genetics.
Yangjun Wen +4 more
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Exploring corner transfer matrices and corner tensors for the classical simulation of quantum lattice systems [PDF]
, 2012 In this paper we explore the practical use of the corner transfer matrix and its higher-dimensional generalization, the corner tensor, to develop tensor network algorithms for the classical simulation of quantum lattice systems of infinite size.
A. Altland +5 more
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Investigating the feature extraction capabilities of non-negative matrix factorisation algorithms for black-and-white images [PDF]
ITM Web of ConferencesNonnegative matrix factorisation (NMF) is a class of matrix factorisation methods to approximate a nonnegative matrix as a product of two nonnegative matrices.
Liew How Hui +2 more
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Randomized Matrix Decompositions Using R
Journal of Statistical Software, 2019 Matrix decompositions are fundamental tools in the area of applied mathematics, statistical computing, and machine learning. In particular, low-rank matrix decompositions are vital, and widely used for data analysis, dimensionality reduction, and data ...
N. Benjamin Erichson +3 more
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