Results 31 to 40 of about 23,208,688 (165)
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
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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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Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering [PDF]
, 2009 Let Q be a given n×n square symmetric matrix of nonnegative elements between 0 and 1, similarities. Fuzzy clustering results in fuzzy assignment of individuals to K clusters.
Braak, C.J.F., ter +3 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
Optimisation of constant matrix multiplication operation hardware using a genetic algorithm [PDF]
, 2006 The efficient design of multiplierless implementations of constant matrix multipliers is challenged by the huge solution search spaces even for small scale problems.
O'Connor, Noel E. +6 more
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matrix-toolbox/CHM_CATALOG: v2.2.0
, 2023 Sinkhorn matrices, symmetric and Hermitian ...
matrix-toolbox
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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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