Results 21 to 30 of about 137,938 (302)
Quantifying the Opportunity Limits of Automatic Residential Electric Load Shaping
Energies, 2019 Electric utility residential demand response programs typically reduce load a few times a year during periods of peak energy use. In the future, utilities and consumers may monetarily and environmentally benefit from continuously shaping load by ...
Robert Cruickshank +4 more
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REPRESENTATION OF GRADIENTS OF A SCALAR FIELD ON THE SPHERE USING A 2D FOURIER EXPRESSION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Representation of data on the sphere is conventionally done using spherical harmonics. Making use of the Fourier series of the Legendre function in the SH representation results in a 2D Fourier expression.
M. A. Sharifi, K. Ghobadi-Far
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Вестник Самарского государственного технического университета. Серия: Технические науки, 2022 It is proposed, based on the spectral representation of the system, to solve the problem of synthesis of a distributed control plant described by PDE, using LMI technique. The system is described by a spectral characteristic vector with the amplitudes of
Vladimir A. Koval’ +2 more
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A survey of kernel and spectral methods for clustering [PDF]
, 2007 Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods ...
Masulli, F. +11 more
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An interhemispheric, statistical study of nightside spectral width distributions from coherent HF scatter radars [PDF]
, 2002 International audienceA statistical investigation of the Doppler spectral width parameter routinely observed by HF coherent radars has been conducted between the Northern and Southern Hemispheres for the nightside ionosphere.
Milan, S. E. +16 more
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bsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors
Journal of Statistical Software, 2019 The Bayesian spectral analysis model (BSAM) is a powerful tool to deal with semiparametric methods in regression and density estimation based on the spectral representation of Gaussian process priors. The bsamGP package for R provides a comprehensive set
Seongil Jo +3 more
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Robust Spectral Clustering via Low-Rank Sample Representation
Applied Computational Intelligence and Soft Computing, 2022 Traditional clustering methods neglect the data quality and perform clustering directly on the original data. Therefore, their performance can easily deteriorate since real-world data would usually contain noisy data samples in high-dimensional space. In
Hao Liang +3 more
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The ellipsoidal representation of spectral sensitivity
Vision Research, 1990 When plotted in three-dimensional color-space, thresholds of colored lights fall on or near the surface of an ellipsoid. Using data reported in the literature, we estimate the deviation between sets of spectral threshold measurements and the ellipsoid that passes closest to the data. Seventy-three percent of the reported spectral thresholds fall within
A B, Poirson, B A, Wandell
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, 2016 Traditional hyperspectral image classification algorithms focus on spectral' information application, however, with the increase of spatial resolution of hyperspectral remote sensing images, hyperspectral imaging presents clustering properties on ...
Wang, HW +11 more
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Frequency-Domain Vision Transformers: Architectures, Applications, and Open Challenges
Applied SciencesVision Transformers (ViTs) have achieved strong performance in computer vision but suffer from limited inductive bias, high data requirements, and reduced sensitivity to high-frequency visual details.
Muhammet Fatih Aslan +2 more
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