Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Xue-Song Tang"'
Autor:
Xue-Song Tang, Xian-Lin Xie
Publikováno v:
IEEE Access, Vol 11, Pp 58462-58469 (2023)
In recent years, Transformer-based models have exhibited significant advancements over previous models in natural language processing and vision tasks. This powerful methodology has also been extended to the 3D point cloud domain, where it can mitiga
Externí odkaz:
https://doaj.org/article/ff72bdaedd7841f7ae35256bc49d432d
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1438 (2023)
The analysis of epilepsy electro-encephalography (EEG) signals is of great significance for the diagnosis of epilepsy, which is one of the common neurological diseases of all age groups. With the developments of machine learning, many data-driven mod
Externí odkaz:
https://doaj.org/article/0bf39ddd55dc421888daca4671ecb2cc
Publikováno v:
IEEE Access, Vol 8, Pp 173158-173168 (2020)
In recent years, with the development of machine learning, especially after the rise of deep learning, time series clustering has been proven to effectively provide useful information in cloud computing and big data. However, many modern clustering a
Externí odkaz:
https://doaj.org/article/7913d6d4b0f94a3ab435de9949a9f92b
Publikováno v:
IEEE Access, Vol 7, Pp 99-110 (2019)
Human beings have a strong capability to identify objects in different viewpoints. Unlike computer vision that requires sufficient training samples in various scales and rotations, biological visual systems can efficiently recognize objects in divers
Externí odkaz:
https://doaj.org/article/de7de5ca458a45aab9077b4b4bd6c859
Publikováno v:
IEEE Access, Vol 7, Pp 56713-56723 (2019)
In this paper, a new clustering algorithm is proposed based on cross clusters without using membership functions. In light of the cross clustering data transformation, the spatial distribution of data is changed while the original data dimension simu
Externí odkaz:
https://doaj.org/article/59dcae8cb22346689e19538ac0776ba0
Publikováno v:
Sensors, Vol 18, Iss 11, p 3625 (2018)
Leaves account for the largest proportion of all organ areas for most kinds of plants, and are comprise the main part of the photosynthetically active material in a plant. Observation of individual leaves can help to recognize their growth status and
Externí odkaz:
https://doaj.org/article/96d0ec6a67504d69a90f2136238a56b2
Publikováno v:
Remote Sensing, Vol 9, Iss 5, p 508 (2017)
Nowadays, 3D imaging of plants not only contributes to monitoring and managing plant growth, but is also becoming an essential part of high-throughput plant phenotyping. In this paper, an inexpensive (less than 70 USD) and portable platform with bino
Externí odkaz:
https://doaj.org/article/e85607f8dbd6424c80e74b47bed9ceb8
Publikováno v:
Neurocomputing. 488:315-327
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:388-402
In this paper, sparse autoencoder in deep learning is integrated into the compressed sensing (CS) theory, and a reconstruction algorithm is designed based on the biological mechanism of human brain synaptic connections. The compressive sampling proce
Publikováno v:
Neural Networks. 150:58-67
Deep neural networks (DNNs) are vulnerable to adversarial examples, which are crafted by imposing mild perturbation on clean ones. An intriguing property of adversarial examples is that they are efficient among different DNNs. Thus transfer-based att