Results 11 to 20 of about 15,133,375 (160)
Probabilistic adaptive computation time [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2018 We present a probabilistic model with discrete latent variables that control the computation time in deep learning models such as ResNets and LSTMs. A prior on the latent variables expresses the preference for faster computation.
M. Figurnov, A. Sobolev, D. Vetrov
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Computation 2020 Best Paper Awards
, 2022 Computation is instituting the Best Paper Awards to recognize outstanding papers published in the journal [...
Computation Editorial Office Computation Editorial Office
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Acknowledgment to Reviewers of Computation in 2020
, 2021 Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Computation maintains its standards for the high quality of its published papers [...
Computation Editorial Office Computation Editorial Office
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Multi-Size-Mesh, Multi-Time-Step Algorithm for Noise Computation on Curvilinear Meshes [PDF]
, 2013 Aeroacoustic problems are often multi-scale and a zonal refinement technique is thus desirable to reduce computational effort while preserving low dissipation and low dispersion errors from the numerical scheme.
CORRE, Christophe +3 more
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Understanding computation time: a critical discussion of time as a computational performance metric [PDF]
, 2021 Computation time is an important performance metric that scientists and software engineers use to determine whether an algorithm is capable of running within a reasonable time frame.
Harris-Birtill, D. +2 more
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Computation of Kalman Decompositions of Periodic Systems [PDF]
, 2003 We consider the numerically reliable computation of reachability and observability Kalman decompositions of a periodic system with time-varying dimensions.
A. Varga +3 more
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Learning short multivariate time series models through evolutionary and sparse matrix computation [PDF]
, 2005 Multivariate time series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is important for many decision making activities.
Liu, X, Kok, J, Swift, S
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Image Analysis and Stereology, 2011 Three different approaches to colour texture analysis are tested on the classification of images from the VisTex and Outex databases. All the methods tested are based on extensions of the cooccurrence matrix method.
Vincent Arvis +3 more
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Acceleration of multi‐task cascaded convolutional networks
IET Image Processing, 2020 Multi‐task cascaded convolutional neural network (MTCNN) is a human face detection architecture which uses a cascaded structure with three stages (P‐Net, R‐Net and O‐Net).
Long‐Hua Ma +3 more
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Energies, 2022 In this paper, the optimal design of a brushless direct current motor with a three-dimensional (3D) structure using the response surface methodology (RSM) is presented. There were two optimization goals: reduction of the cogging torque and maintenance of
Seong-Tae Jo +4 more
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