Search: Jets — Academic Articles

Recognition of expiry data on food packages based on improved DBNet

Jishi Zheng, Junhui Li, Zhigang Ding, Linghua Kong et al. • Connection Science (2023)

To prevent products with missing character information from reaching the market, manufacturers need an automatic character recognition method. One of the key problems of this recognition method is to recognise text under complex package pat...

DOAJ Open Access (DOAJ) DOI: 10.1080/09540091.2023.2202363

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Jet-images — deep learning edition

Luke de Oliveira • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2022)

Building on the notion of a particle physics detector as a camera and the collimated streams of high energy particles, or jets, it measures as an image, we investigate the potential of machine learning techniques based on deep learning arch...

OPENALEX cc-by DOI: https://doi.org/10.1007/jhep07%282016%29069

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Jet-images — deep learning edition

Luke de Oliveira, Michael Kagan, Lester W. Mackey, Benjamin Philip Nachman et al. • Journal of High Energy Physics (2016)

Building on the notion of a particle physics detector as a camera and the collimated streams of high energy particles, or jets, it measures as an image, we investigate the potential of machine learning techniques based on deep learning arch...

OPENALEX cc-by DOI: https://doi.org/10.1007/jhep07(2016)069

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Pulling out all the tops with computer vision and deep learning

Sebastian Macaluso, David Shih • Journal of High Energy Physics (2018)

Abstract We apply computer vision with deep learning — in the form of a convolutional neural network (CNN) — to build a highly effective boosted top tagger. Previous work (the “DeepTop” tagger of Kasieczka et al) has shown that a CNN-based ...

DOAJ Open Access (DOAJ) DOI: 10.1007/JHEP10(2018)121

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Academic Articles & Research Papers

Recognition of expiry data on food packages based on improved DBNet

Jet-images — deep learning edition

Jet-images — deep learning edition

Pulling out all the tops with computer vision and deep learning