Results 41 to 50 of about 2,550,298 (280)
A Novel Method to Implement the Matrix Pencil Super Resolution Algorithm for Indoor Positioning [PDF]
Mehran University Research Journal of Engineering and Technology, 2011 This article highlights the estimation of the results for the algorithms implemented in order to estimate the delays and distances for the indoor positioning system.
Tariq Jamil Saifullah Khanzada +2 more
doaj
Sequential and Adaptive Learning Algorithms for M-Estimation
EURASIP Journal on Advances in Signal Processing, 2008 The M-estimate of a linear observation model has many important engineering applications such as identifying a linear system under non-Gaussian noise.
Guang Deng
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Novel Algorithms Based on Majorization Minimization for Nonnegative Matrix Factorization
IEEE Access, 2019 Matrix decomposition is ubiquitous and has applications in various fields like speech processing, data mining and image processing to name a few. Under matrix decomposition, nonnegative matrix factorization is used to decompose a nonnegative matrix into ...
R. Jyothi, Prabhu Babu, Rajendar Bahl
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Fast matrix multiplication techniques based on the Adleman-Lipton model
, 2011 On distributed memory electronic computers, the implementation and association of fast parallel matrix multiplication algorithms has yielded astounding results and insights.
Nayebi, Aran
core +1 more source
A Bit Shift Image Encryption Algorithm Based on Double Chaotic Systems
Entropy, 2021 A chaotic system refers to a deterministic system with seemingly random irregular motion, and its behavior is uncertain, unrepeatable, and unpredictable.
Yue Zhao, Lingfeng Liu
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Energies, 2018 This paper presents novel cycle-break (spanning tree generation) algorithms which can be used to find the optimal distribution network topology. These algorithms (adjacency matrix/top-down/bottom-up cycle break) represent a novel way of obtaining radial ...
Rade Čađenović +3 more
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JAMPI: Efficient Matrix Multiplication in Spark Using Barrier Execution Mode
Big Data and Cognitive Computing, 2020 The new barrier mode in Apache Spark allows for embedding distributed deep learning training as a Spark stage to simplify the distributed training workflow.
Tamas Foldi +2 more
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BMC Medical Research Methodology, 2023 Background Despite the extensive research on data mining algorithms, there is still a lack of a standard protocol to evaluate the performance of the existing algorithms.
Jian Zhong +10 more
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Physics Letters B, 1973 Abstract An application of the Lanczos algorithm for the tridiagonalization of a finite matrix to shell model calculations has been recently suggested. Here we study the possibility to extend this method to cases where states lying in the continuum are included.
openaire +1 more source
Efficient Algorithms and Lower Bounds for Robust Linear Regression [PDF]
ACM-SIAM Symposium on Discrete Algorithms, 2018 We study the problem of high-dimensional linear regression in a robust model where an $\epsilon$-fraction of the samples can be adversarially corrupted. We focus on the fundamental setting where the covariates of the uncorrupted samples are drawn from a ...
Ilias Diakonikolas +2 more
semanticscholar +1 more source