Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mehran Khodabandeh"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)
Abstract Background StrongestPath is a Cytoscape 3 application that enables the analysis of interactions between two proteins or groups of proteins in a collection of protein–protein interaction (PPI) network or signaling network databases. When th
Externí odkaz:
https://doaj.org/article/76849577f9c84e3cad4f3fe0c544dd59
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background StrongestPath is a Cytoscape 3 application that enables the analysis of interactions between two proteins or groups of proteins in a collection of protein–protein interaction (PPI) network or signaling network databases. When there are d
BackgroundStrongestPath is a Cytoscape 3 application that enables to look for one or more cascades of interactions connecting two single or groups of proteins in a collection of protein-protein interaction (PPI) network or signaling network databases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be8b68b706f79dee6d34e7f86a4aff9b
https://doi.org/10.1101/2020.11.12.380600
https://doi.org/10.1101/2020.11.12.380600
Publikováno v:
ICCV
Domain shift is unavoidable in real-world applications of object detection. For example, in self-driving cars, the target domain consists of unconstrained road environments which cannot all possibly be observed in training data. Similarly, in surveil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad4ac167abd8aad05469cbb04a3a8e38
http://arxiv.org/abs/1904.02361
http://arxiv.org/abs/1904.02361
Publikováno v:
CVPR Workshops
The recent successes in applying deep learning techniques to solve standard computer vision problems has aspired researchers to propose new computer vision problems in different domains. As previously established in the field, training data itself pl
Publikováno v:
MVA
Detecting objects such as humans or vehicles is a central problem in video surveillance. Myriad standard approaches exist for this problem. At their core, approaches consider either the appearance of people, patterns of their motion, or differences f
Autor:
Arash Vahdat, Stephen Se, Greg Mori, Mehran Khodabandeh, Mehrsan Javan Roshtkhari, Guang-Tong Zhou, Hossein Hajimirsadeghi
Publikováno v:
CVPR Workshops
We present a novel approach for discovering human interactions in videos. Activity understanding techniques usually require a large number of labeled examples, which are not available in many practical cases. Here, we focus on recovering semantically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33f64722b625f0c0201299215bf3378d
http://arxiv.org/abs/1502.03851
http://arxiv.org/abs/1502.03851