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of 380
pro vyhledávání: '"HE, Junyi"'
Autor:
Zhang, Yi, Cheng, Chun-Wun, He, Junyi, He, Zhihai, Schönlieb, Carola-Bibiane, Chen, Yuyan, Aviles-Rivero, Angelica I
We introduce SONO, a novel method leveraging Second-Order Neural Ordinary Differential Equations (Second-Order NODEs) to enhance cross-modal few-shot learning. By employing a simple yet effective architecture consisting of a Second-Order NODEs model
Externí odkaz:
http://arxiv.org/abs/2412.15813
Accommodating services at the network edge is favorable for time-sensitive applications. However, maintaining service usability is resource-consuming in terms of pulling service images to the edge, synchronizing databases of service containers, and h
Externí odkaz:
http://arxiv.org/abs/2406.16280
Multimodal emotion recognition has attracted much attention recently. Fusing multiple modalities effectively with limited labeled data is a challenging task. Considering the success of pre-trained model and fine-grained nature of emotion expression,
Externí odkaz:
http://arxiv.org/abs/2211.07711
Publikováno v:
Yuanzineng kexue jishu, Vol 58, Iss 5, Pp 1048-1059 (2024)
Typical input-based best estimate plus uncertainty (BEPU) analysis methods require comprehensive consideration of uncertainty from all sources. Uncertainty of the input parameters is then propagated to the output by many sampling calculations through
Externí odkaz:
https://doaj.org/article/c05dfec6897e48f1a0e018d0a46dae01
Publikováno v:
In Journal of Wind Engineering & Industrial Aerodynamics November 2024 254
Publikováno v:
In Applied Energy 1 October 2024 371
Publikováno v:
In Energy Conversion and Management 15 January 2025 324
Publikováno v:
In Applied Energy 1 January 2025 377 Part C
Publikováno v:
In Journal of Building Engineering 1 September 2024 92
Publikováno v:
In Journal of Science: Advanced Materials and Devices June 2024 9(2)