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pro vyhledávání: '"Zhu Manli"'
Cameras are essential vision instruments to capture images for pattern detection and measurement. Human-object interaction (HOI) detection is one of the most popular pattern detection approaches for captured human-centric visual scenes. Recently, Tra
Externí odkaz:
http://arxiv.org/abs/2406.18691
Localization plays a crucial role in enhancing the practicality and precision of VQA systems. By enabling fine-grained identification and interaction with specific parts of an object, it significantly improves the system's ability to provide contextu
Externí odkaz:
http://arxiv.org/abs/2404.01151
Publikováno v:
MATEC Web of Conferences, Vol 309, p 02013 (2020)
The construction of mobile cloud service platform is innovative complex project. This paper analyzed service innovation behavior based on the four-dimensional model of service innovation, and to study the implementation process of mobile cloud servic
Externí odkaz:
https://doaj.org/article/1afbeb69567e4dfa8db82fa72d112ad3
Musculoskeletal and neurological disorders are the most common causes of walking problems among older people, and they often lead to diminished quality of life. Analyzing walking motion data manually requires trained professionals and the evaluations
Externí odkaz:
http://arxiv.org/abs/2208.08848
Detecting human-object interactions is essential for comprehensive understanding of visual scenes. In particular, spatial connections between humans and objects are important cues for reasoning interactions. To this end, we propose a skeleton-aware g
Externí odkaz:
http://arxiv.org/abs/2207.05733
Early prediction of cerebral palsy is essential as it leads to early treatment and monitoring. Deep learning has shown promising results in biomedical engineering thanks to its capacity of modelling complicated data with its non-linear architecture.
Externí odkaz:
http://arxiv.org/abs/2106.04471
Akademický článek
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Akademický článek
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Publikováno v:
In Food Research International December 2023 174 Part 1
Autor:
Martinez Aleix M, Zhu Manli
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 280 (2008)
Abstract Background Microarray-based tumor classification is characterized by a very large number of features (genes) and small number of samples. In such cases, statistical techniques cannot determine which genes are correlated to each tumor type. A
Externí odkaz:
https://doaj.org/article/47ae4405b2924c398f4ff4c8df01d303