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pro vyhledávání: '"Zhang, Sixian"'
Current metrics for text-to-image models typically rely on statistical metrics which inadequately represent the real preference of humans. Although recent work attempts to learn these preferences via human annotated images, they reduce the rich tapes
Externí odkaz:
http://arxiv.org/abs/2405.14705
The goal of object navigation is to reach the expected objects according to visual information in the unseen environments. Previous works usually implement deep models to train an agent to predict actions in real-time. However, in the unseen environm
Externí odkaz:
http://arxiv.org/abs/2109.02066
This paper proposes piece-wise matching layer as a novel layer in representation learning methods for electrocardiogram (ECG) classification. Despite the remarkable performance of representation learning methods in the analysis of time series, there
Externí odkaz:
http://arxiv.org/abs/2010.06510
Akademický článek
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Publikováno v:
CE/Papers; Sep2021, Vol. 4 Issue 2-4, p100-109, 10p
Autor:
Ghazanfari B; School of Informatics, Computing and Cyber Security, Northern Arizona University, Flagstaff, AZ., Zhang S; School of Informatics, Computing and Cyber Security, Northern Arizona University, Flagstaff, AZ., Afghah F; School of Informatics, Computing and Cyber Security, Northern Arizona University, Flagstaff, AZ., Payton-McCauslin N; School of Informatics, Computing and Cyber Security, Northern Arizona University, Flagstaff, AZ.
Publikováno v:
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine [Proceedings (IEEE Int Conf Bioinformatics Biomed)] 2019 Nov; Vol. 2019, pp. 2350-2355. Date of Electronic Publication: 2020 Feb 06.