Zobrazeno 1 - 10
of 404
pro vyhledávání: '"Woo, Wai‐Lok"'
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
Multiview clustering (MVC) segregates data samples into meaningful clusters by synthesizing information across multiple views. Moreover, deep learning-based methods have demonstrated their strong feature learning capabilities in MVC scenarios. Howeve
Externí odkaz:
http://arxiv.org/abs/2401.12648
Graph representation learning is fundamental for analyzing graph-structured data. Exploring invariant graph representations remains a challenge for most existing graph representation learning methods. In this paper, we propose a cross-view graph cons
Externí odkaz:
http://arxiv.org/abs/2311.11821
The Kessler syndrome refers to the escalating space debris from frequent space activities, threatening future space exploration. Addressing this issue is vital. Several AI models, including Convolutional Neural Networks, Kernel Principal Component An
Externí odkaz:
http://arxiv.org/abs/2310.17158
Human activity recognition (HAR) is an essential research field that has been used in different applications including home and workplace automation, security and surveillance as well as healthcare. Starting from conventional machine learning methods
Externí odkaz:
http://arxiv.org/abs/2309.07170
Publikováno v:
2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Multiview clustering (MVC) aims to reveal the underlying structure of multiview data by categorizing data samples into clusters. Deep learning-based methods exhibit strong feature learning capabilities on large-scale datasets. For most existing deep
Externí odkaz:
http://arxiv.org/abs/2304.10769
Autor:
Wambua, Job Maveke, Mwema, Fredrick Madaraka, Akinlabi, Stephen, Birkett, Martin, Xu, Ben, Woo, Wai Lok, Taverne, Mike, Ho, Ying-Lung Daniel, Akinlabi, Esther
Publikováno v:
Rapid Prototyping Journal, 2024, Vol. 30, Issue 5, pp. 885-903.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RPJ-11-2023-0415
There exists unexplained diverse variation within the predefined colon cancer stages using only features either from genomics or histopathological whole slide images as prognostic factors. Unraveling this variation will bring about improved in stagin
Externí odkaz:
http://arxiv.org/abs/2212.06834
Publikováno v:
Construction Innovation, 2023, Vol. 24, Issue 1, pp. 242-255.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CI-12-2022-0333
Identifying sleep stages and patterns is an essential part of diagnosing and treating sleep disorders. With the advancement of smart technologies, sensor data related to sleeping patterns can be captured easily. In this paper, we propose a Convolutio
Externí odkaz:
http://arxiv.org/abs/2204.13584