Results 361 to 370 of about 26,640,125 (414)

Keywords CVE 100

open access: yesCahiers Victoriens et Edouardiens
doaj   +1 more source

Carbon Nitride Supported High-Loading Fe Single-Atom Catalyst for Activating of Peroxymonosulfate to Generate 1O2 with 100% Selectivity.

Angewandte Chemie, 2021
Singlet oxygen (1O2) is an excellent active species for the selective degradation of organic pollutions. However, it is difficult to achieve high efficiency and selectivity for the generation of 1O2.
Long-Shuai Zhang   +8 more
semanticscholar   +1 more source

DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters

Knowledge Discovery and Data Mining, 2020
Explore new techniques in Microsoft's open source library called DeepSpeed, which advances large model training by improving scale, speed, cost, and usability, unlocking the ability to train 100-billion-parameter models.
Jeff Rasley   +3 more
semanticscholar   +1 more source

Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100

International Journal of Computer Vision, 2020
This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a collection of 100 hours, 20M frames, 90K actions in 700 variable-length videos, capturing long-term ...
D. Damen   +10 more
semanticscholar   +1 more source

100 % monnaie

2019
Irving Fisher (1867–1947) adopted the Chicago Plan in 1935 and turned it into a theory elaborated in his book 100% Money. This American economist’s fundamental idea is to suppress the link between credit and money.
Fisher, Irving   +2 more
openaire   +4 more sources

Learning to Track at 100 FPS with Deep Regression Networks

European Conference on Computer Vision, 2016
Machine learning techniques are often used in computer vision due to their ability to leverage large amounts of training data to improve performance. Unfortunately, most generic object trackers are still trained from scratch online and do not benefit ...
David Held, S. Thrun, S. Savarese
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy