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Akademický článek
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Autor:
D'Alonzo, Jacopo
Publikováno v:
Cahiers Ferdinand de Saussure, 2019 Jan 01(72), 125-132.
Externí odkaz:
https://www.jstor.org/stable/45395975
Autor:
Herrick, Tim
Publikováno v:
Journal of the History of Ideas, 2005 Jan 01. 66(1), 113-131.
Externí odkaz:
https://www.jstor.org/stable/3654310
Autor:
McHale, Shawn
Publikováno v:
The Journal of Asian Studies, 2002 Feb 01. 61(1), 7-31.
Externí odkaz:
https://www.jstor.org/stable/2700187
Autor:
Ledesma-Martin, J. Omar, Galindez-Ruales, Edgar, Krishnia, Sachin, Fuhrmann, Felix, Tran, Duc Minh, Gupta, Rahul, Gasser, Marcel, Go, Dongwook, Jakob, Gerhard, Mokrousov, Yuriy, Kläui, Mathias
In magnetic systems, angular momentum is carried by the spin and orbital degrees of freedom. Non-local devices can be used to study angular momentum transport. They consist of parallel heavy-metal nanowires placed on top of magnetic insulators like y
Externí odkaz:
http://arxiv.org/abs/2411.07044
Federated Learning (FL) is a machine learning method for training with private data locally stored in distributed machines without gathering them into one place for central learning. Despite its promises, FL is prone to critical security risks. First
Externí odkaz:
http://arxiv.org/abs/2411.02773
Publikováno v:
ACM Multimedia 2024, pages 1467-1475
Recently, transformer-based techniques incorporating superpoints have become prevalent in 3D instance segmentation. However, they often encounter an over-segmentation problem, especially noticeable with large objects. Additionally, unreliable mask pr
Externí odkaz:
http://arxiv.org/abs/2411.01781
Autor:
Le, Thanh-Dung, Ha, Vu Nguyen, Nguyen, Ti Ti, Eappen, Geoffrey, Thiruvasagam, Prabhu, Chou, Hong-fu, Tran, Duc-Dung, Garces-Socarras, Luis M., Gonzalez-Rios, Jorge L., Merlano-Duncan, Juan Carlos, Chatzinotas, Symeon
This study presents an innovative dynamic weighting knowledge distillation (KD) framework tailored for efficient Earth observation (EO) image classification (IC) in resource-constrained settings. Utilizing EfficientViT and MobileViT as teacher models
Externí odkaz:
http://arxiv.org/abs/2411.00209
Autor:
Chou, Hong-fu, Ha, Vu Nguyen, Thiruvasagam, Prabhu, Le, Thanh-Dung, Eappen, Geoffrey, Nguyen, Ti Ti, Tran, Duc Dung, Garces-Socarras, Luis M., Merlano-Duncan, Juan Carlos, Chatzinotas, Symeon
Earth observation (EO) systems are essential for mapping, catastrophe monitoring, and resource management, but they have trouble processing and sending large amounts of EO data efficiently, especially for specialized applications like agriculture and
Externí odkaz:
http://arxiv.org/abs/2410.21916