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pro vyhledávání: '"Charlton, John"'
This work shows promising results using multiple instance learning on salivary gland tumours in classifying cancers on whole slide images. Utilising CTransPath as a patch-level feature extractor and CLAM as a feature aggregator, an F1 score of over 0
Externí odkaz:
http://arxiv.org/abs/2408.12275
Publikováno v:
Transactions on Computational Science XXXVII, 2020, 129-143
Understanding how people view and interact with autonomous vehicles is important to guide future directions of research. One such way of aiding understanding is through simulations of virtual environments involving people and autonomous vehicles. We
Externí odkaz:
http://arxiv.org/abs/2008.11578
Publikováno v:
CGI 2019: Advances in Computer Graphics, 36, pp 266-277
Real-time large-scale crowd simulations with realistic behavior, are important for many application areas. On CPUs, the ORCA pedestrian steering model is often used for agent-based pedestrian simulations. This paper introduces a technique for running
Externí odkaz:
http://arxiv.org/abs/1908.10107
Publikováno v:
Journal of Parallel and Distributed Computing, Volume 126, April 2019, Pages 152-160
This paper presents a novel, high-performance, graphical processing unit-based algorithm for efficiently solving two-dimensional linear programs in batches. The domain of two-dimensional linear programs is particularly useful due to the prevalence of
Externí odkaz:
http://arxiv.org/abs/1902.04995
Akademický článek
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Publikováno v:
In Computers in Human Behavior July 2013 29(4):1617-1625