Results 271 to 280 of about 42,296 (307)

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 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 ...
Karl Pereira, Peter Athanas, Heshan Lin, Wu Feng 0001   +3 more
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Accelerating spectral unmixing by using clustered images

2017 IEEE International Conference on Image Processing (ICIP), 2017
We propose the usage of a clustering step before the unmixing of hyperspectral images. This circumvents or at least mitigates the drawback of having a large amount of data that has to be processed by taking advantage of the large number of similar pixels and merging similar pixels into clusters. Afterwards, only the cluster centroids have to be unmixed
Bauer, Sebastian, Winterbauer, Eric, Puente León, Fernando   +2 more
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Local short-time acceleration induced spectral line broadening and possible implications in cosmology

Annals of Physics
The paper proposes an acceleration effect that a local short-time acceleration produces an additional broadening to spectral line, while the central value of the line remains unaffected.
M J Luo
exaly   +3 more sources

Correlation of Spectral Accelerations for Earthquakes in China

Bulletin of the Seismological Society of America, 2017
Abstract Conditional mean spectrum (CMS) is increasingly being accepted as a more reasonable target spectrum for selecting earthquake records than uniform hazard spectrum. Construction of CMS requires the determination of correlation coefficients of spectral accelerations. This article presents the first investigation of correlation coefficients based
Kun Ji, Najib Bouaanani, Ruizhi Wen, Yefei Ren   +3 more
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Which Spectral Acceleration are you Using?

Earthquake Spectra, 2006
Analysis of the seismic risk to a structure requires assessment of both the rate of occurrence of future earthquake ground motions (hazard) and the effect of these ground motions on the structure (response). These two pieces are often linked using an intensity measure such as spectral acceleration.
Jack W. Baker, C. Allin Cornell
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Pseudo-Reconfigurable Heterogeneous Solution for Accelerating Spectral Clustering

2020 IEEE International Conference on Big Data (Big Data), 2020
Spectral clustering is a Machine Learning technique intensively used in Big Data applications. It makes extensive use of linear algebra. This article introduces the concept of MapReduce Accelerator (MRA) as the reconfigurable part of a heterogeneous computing system.
Mihaela Malita, George-Vladut Popescu, Gheorghe M. Stefan   +2 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.
J, Weichsel, T, Fuchs, E, Lefebvre, E, d'Humières, U, Oelfke   +4 more
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Spectral Characteristics of the Radiation Emitted by Electrons Accelerated in a Synchrotron

Journal of Applied Physics, 1958
Expressions are developed for the average power radiated by a high-energy electron moving in a circular orbit. The instantaneous electron energy E(t) is assumed to vary with the time in accordance with E(t)Emsin2(πt/2T). Spectral distributions are obtained corresponding to the radiation emitted over a partial or full acceleration interval.
Tomboulian, D. H., Bedo, D. E.
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Acceleration of spectral domain analysis method for conformal antennas

2010 International Workshop on Antenna Technology (iWAT), 2010
This paper presents different approaches for acceleration of the spectral domain analysis of large conformal antennas and arrays. The basic idea is to find suitable simplification of the original problem that can be efficiently analyzed using alternative method like Uniform Theory of Diffraction (UTD).
Bosiljevac, Marko, Bartolić, Juraj, Šipuš, Zvonimir   +2 more
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