Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Kun Lu"'
Publikováno v:
Neurocomputing. 435:186-196
In this paper, we propose a novel Attentive Multi-View Deep Subspace Nets (AMVDSN), which deeply explores underlying consistent and view-specific information from multiple views and fuse them by considering each view’s dynamic contribution obtained
Publikováno v:
Applied Intelligence. 51:5420-5439
Online learning is an important technical means for sketching massive real-time and high-speed data. Although this direction has attracted intensive attention, most of the literature in this area ignore the following three issues: (1) they think litt
Multi-view learning attempts to generate a model with a better performance by exploiting the consensus and/or complementarity among multi-view data. However, in terms of complementarity, most existing approaches only can find representations with sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77542f973f199bbe08d56914733d1b7f
Multi-view learning accomplishes the task objectives of classification by leverag-ing the relationships between different views of the same object. Most existing methods usually focus on consistency and complementarity between multiple views. But not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::824b8b67f82a830c5a47f021d621df9a
Publikováno v:
Methods in Molecular Biology ISBN: 9781071617984
Real-time quantitative polymerase chain reaction (qPCR) is a powerful tool for analyzing and quantifying gene expression, and its primer design is the first and most important step. In order to improve the efficiency and effectiveness of primer desig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119ac67edaaaaf44c6c2475c25f9054a
https://doi.org/10.1007/978-1-0716-1799-1_13
https://doi.org/10.1007/978-1-0716-1799-1_13
Publikováno v:
Neural Computing and Applications. 32:10403-10422
Over recent decades have witnessed considerable progress in whether multi-task learning or multi-view learning, but the situation that consider both learning scenes simultaneously has received not too much attention. How to utilize multiple views lat
Autor:
Yuntao Song, Jun Wang, Jing Kaiming, Chenglian Liu, Kun Lu, Tingzhi Zhou, Han Quan, Bo Li, Kaizhong Ding, Qingqing Du, Ke Zhang, Sikui Yu
Publikováno v:
IEEE Transactions on Applied Superconductivity. 29:1-4
Heat conduction load test is a main and tough issue in the complex and huge general atom (GA) feeder system cold test. The GA feeder system is a superconducting system connects from the room temperature power supply system to the 4.5-K busbar of the
Publikováno v:
2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD).
In this paper, the model of electric-thermal-magnetic coupling of the high temperature superconducting (HTS) 10 kV/ 1 kA tri-axial cable is established based on Matlab/Simulink and Ansys. The current, temperature and magnetic field distribution chang
Autor:
Cunmin Qu, Xiaodong Li, Tian Li, Kai Zhang, Hualei Huang, Kun Lu, Jiana Li, Wei Sun, Yonghai Fan, Chaoyu Luo, Yingfei Ruan, Yue Niu, Haoyu Chao
Publikováno v:
International Journal of Molecular Sciences
Volume 21
Issue 16
International Journal of Molecular Sciences, Vol 21, Iss 5831, p 5831 (2020)
Volume 21
Issue 16
International Journal of Molecular Sciences, Vol 21, Iss 5831, p 5831 (2020)
The genus Brassica contains several economically important crops, including rapeseed (Brassica napus, 2n = 38, AACC), the second largest source of seed oil and protein meal worldwide. However, research in rapeseed is hampered because it is complicate
Publikováno v:
2020 Chinese Control And Decision Conference (CCDC).
Multi-view is quite more effective at improving the training of model than merely using single view. However, most existing multi-view learning algorithms only either pay attention to consistency or complementary principle among views, not making ful