Zobrazeno 11 - 15
of 15
pro vyhledávání: '"Shah Rukh"'
Document structure analysis, such as zone segmentation and table recognition, is a complex problem in document processing and is an active area of research. The recent success of deep learning in solving various computer vision and machine learning p
Externí odkaz:
http://arxiv.org/abs/1905.13391
Recent advancements in mobile devices encourage researchers to utilize them in collaborative environments as a medium to interact with large shared wall-displays. In this paper, we focus on a semi-controlled user study that we conducted to measure th
Externí odkaz:
http://arxiv.org/abs/1904.13364
Publikováno v:
Eur. Phys. J. C, 79 7 (2019) 608
We explore the use of graph networks to deal with irregular-geometry detectors in the context of particle reconstruction. Thanks to their representation-learning capabilities, graph networks can exploit the full detector granularity, while natively m
Externí odkaz:
http://arxiv.org/abs/1902.07987
Autor:
Cashman, Dylan, Humayoun, Shah Rukh, Heimerl, Florian, Park, Kendall, Das, Subhajit, Thompson, John, Saket, Bahador, Mosca, Abigail, Stasko, John, Endert, Alex, Gleicher, Michael, Chang, Remco
Publikováno v:
Computer Graphics Forum 38(3) 2019, The Eurographics Association and John Wiley & Sons Ltd
Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an
Externí odkaz:
http://arxiv.org/abs/1809.10782
In this position paper, we present our approach of utilizing mobile devices (i.e., mobile phones and tablets) for assisting engineers and experts in understanding and maintaining the factory pipelines. For this, we present a platform, called assistME
Externí odkaz:
http://arxiv.org/abs/1502.03678
- [1]
- « Předchozí
- 1
- 2