Resultados de búsqueda - Graphics processing units

Lemmatization for variation-rich languages using deep learning. por Kestemont, Mike, de Pauw, Guy, van Nie, Renske, Daelemans, Walter

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Controlling AI's Growing Energy Needs. por Ceurstemont, Sandrine

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Electromagnetic Compatibility Issues in 400-MHz-Band Wireless Medical Telemetry Systems and Their Management Using Simplified Methods for Safe Operation. por Ishida, Kai, Fujii, Kiyotaka, Hanada, Eisuke

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Lossless data compression for improving the performance of a GPU-based beamformer. por Lok, U-Wai, Fan, Gang-Wei, Li, Pai-Chi

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Fast computation of myelin maps from MRI T₂ relaxation data using multicore CPU and graphics card parallelization. por Yoo, Youngjin, Prasloski, Thomas, Vavasour, Irene, MacKay, Alexander, Traboulsee, Anthony L, Li, David K B, Tam, Roger C

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GPU-based minimum variance beamformer for synthetic aperture imaging of the eye. por Yiu, Billy Y S, Yu, Alfred C H

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High Performance GPU-Based Fourier Volume Rendering. por Abdellah, Marwan, Eldeib, Ayman, Sharawi, Amr

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User-guided segmentation of preterm neonate ventricular system from 3-D ultrasound images using convex optimization. por Qiu, Wu, Yuan, Jing, Kishimoto, Jessica, McLeod, Jonathan, Chen, Yimin, de Ribaupierre, Sandrine, Fenster, Aaron

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Silicon ceiling.

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Hermes.

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High performance MRI simulations of motion on multi-GPU systems. por Xanthis, Christos G., Venetis, Ioannis E., Aletras, Anthony H.

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The value of critical destruction: Evaluating multispectral image processing methods for the analysis of primary historical texts. por Giacometti, Alejandro, Campagnolo, Alberto, MacDonald, Lindsay, Mahony, Simon, Robson, Stuart, Weyrich, Tim, Terras, Melissa, Gibson, Adam

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Learning Your Limit: Managing Massively Multithreaded Caches Through Scheduling. por Rogers, Timothy G., O’Connor, Mike, Aamodt, Tor M.

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Silicon crumble.

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From deep learning to dark fields—medical imaging physics in ECR 2020. por Kortesniemi, Mika

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FPGA Programming for the Masses. por BACON, DAVID F., RABBAH, RODRIC, SHUKLA, SUNIL

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Real-Time Computer Vision with OpenCV.

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Computing Without Processors.

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Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. por Yi, Paul H., Lin, Abigail, Wei, Jinchi, Yu, Alice C., Sair, Haris I., Hui, Ferdinand K., Hager, Gregory D., Harvey, Susan C.

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Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks. por Filice, Ross

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