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pro vyhledávání: '"Guil, N"'
A heterogeneous architecture composed by a host and an accelerator must frequently deal with situations where several independent tasks are available to be offloaded onto the accelerator. These tasks can be generated by concurrent applications execut
Externí odkaz:
http://arxiv.org/abs/1806.10113
Publikováno v:
In Molecular Phylogenetics and Evolution April 2022 169
This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this work we explore the use of convolutional neural networks (
Externí odkaz:
http://arxiv.org/abs/1603.01006
The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based on densely sampled short-term tr
Externí odkaz:
http://arxiv.org/abs/1601.06931
Publikováno v:
In Procedia Computer Science 2017 108:2353-2357
Publikováno v:
In Journal of Systems Architecture November 2015 61(10):659-667
Publikováno v:
In Signal Processing: Image Communication 2007 22(7):669-679
Akademický článek
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Publikováno v:
In Pattern Recognition 2003 36(11):2543-2556
A heterogeneous architecture composed by a host and an accelerator must frequently deal with situations where several independent tasks are available to be offloaded onto the accelerator. These tasks can be generated by concurrent applications execut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::506d734187c385058b262505439c257a
http://arxiv.org/abs/1806.10113
http://arxiv.org/abs/1806.10113