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Accelerating spectral clustering with partial supervision

Data Mining and Knowledge Discovery, 2010
Spectral Clustering is a popular learning paradigm that employs the eigenvectors and eigenvalues of an appropriate input matrix for approximating the clustering objective. Albeit its empirical success in diverse application areas, spectral clustering has been criticized for its inefficiency when dealing with large-size datasets.
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SPECTRAL INVERSION IS A PROMISING TOOL TO ACCELERATE THE PROJECT

Энергия: экономика, техника, экология, 2020
This article reveals the possibilities of applying the results of spectral inversion on the example of a field in Eastern Siberia and shows the advantages of this approach over standard methods.
P.P. Emelianov   +4 more
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Spectral Analysis of Ground Acceleration-Based Testing

Transportation Research Record: Journal of the Transportation Research Board, 2009
Spectral analysis of downhole acceleration data is used to identify changes in elastic properties of track substructure. The spectral analysis is based on the power spectral density (PSD) as an indicator of frequency content. This method was developed and tested at the Transportation Technology Center, Inc., in Pueblo, Colorado. The system provides an
Ho, Carlton L   +2 more
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Spectral reconstruction for a 6 MV linear accelerator

AIP Conference Proceedings, 2004
In this work we present the first results of an x‐ray spectral reconstruction for a 6 MV Varian LINAC. The shape of the spectrum will be used in Monte Carlo treatment planning in order to improve the quality and accuracy of the calculated dose distributions. We based our simulation method on the formalism proposed by Francois et al. (1). In this method
M. Hernández‐Bojórquez   +2 more
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Correlations of spectral accelerations in the Chilean subduction zone

Earthquake Spectra, 2020
The correlation between spectral accelerations is key in the construction of conditional mean spectra, the computation of vector-valued seismic hazard, and the assessment of seismic risk of spatially distributed systems, among other applications. Spectral correlations are highly dependent on the earthquake database used, and thus, region-specific ...
Candia, G.   +4 more
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OpenACC acceleration of the Nek5000 spectral element code

The International Journal of High Performance Computing Applications, 2015
We present a case study of porting NekBone, a skeleton version of the Nek5000 code, to a parallel GPU-accelerated system. Nek5000 is a computational fluid dynamics code based on the spectral element method used for the simulation of incompressible flow.
Erwin Laure   +7 more
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Spectral Analysis of Accelerated Electron Populations at Mars

Journal of Geophysical Research: Space Physics, 2019
AbstractAccelerated electron populations observed in the nightside ionosphere of Mars are investigated by utilizing measurements obtained by the Solar Wind Electron Analyzer aboard the MAVEN spacecraft. The measurements are of particular interest as they extend to altitudes as low as 130 km, allowing us to investigate the degree to which the ...
Hassanali Akbari   +3 more
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Spectral features of laser-accelerated protons for radiotherapy applications

Physics in Medicine and Biology, 2008
Laser-induced particle accelerators have been recognized as a potential proton source for radiotherapeutic applications in recent years. However, there are still major difficulties--especially regarding the resulting proton spectra--to overcome for a successful application in the clinic.
Emmanuel d'Humières   +4 more
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An acceleration technique for some spectral factorization algorithms

International Journal of Electronics, 1979
Abstract Some recently published spectral factorization algorithms involve the computation of the sign function of the matrix. Such algorithms can be accelerated by modifying the method for computing the sign function of the matrix.
W. D. Hoskins, D.J. Walton
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Spectral Method Characterization on FPGA and GPU Accelerators

2011 International Conference on Reconfigurable Computing and FPGAs, 2011
Hybrid core computing, with CPUs augmented with FPGAs and/or GPUs, offers a promising pathway of addressing emerging high-performance computing demands, particularly with respect to performance, power and productivity. This paper compares the sustained performance of a complex, single precision, floating-point, 1D, Fast Fourier Transform (FFT ...
Wu Feng   +3 more
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