Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Charles X. Ling"'
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
IntroductionRecently, Google introduced Pathways as its next-generation AI architecture. Pathways must address three critical challenges: learning one general model for several continuous tasks, ensuring tasks can leverage each other without forgetti
Externí odkaz:
https://doaj.org/article/9190128a7a734f17a3c66e01347131fe
Publikováno v:
IEEE Access, Vol 8, Pp 199909-199919 (2020)
This article addresses observation duplication and lack of whole picture problems for ensemble learning with the attention model integrated convolutional recurrent neural network (ACRNN) in imbalanced speech emotion recognition. Firstly, we introduce
Externí odkaz:
https://doaj.org/article/fa744630c3be4698a8fb3a348ef8262d
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
Object tracking is an important and fundamental task in computer vision and its high-level applications, e.g., intelligent surveillance, motion-based recognition, video indexing, traffic monitoring and vehicle navigation. However, the recent widespre
Externí odkaz:
https://doaj.org/article/a54b95d5e1f14eb5bddd62905e030c83
Autor:
Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang
Publikováno v:
Neural Networks. 162:34-45
Autor:
Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-12
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-13
Tuning the values of kernel parameters plays a vital role in the performance of kernel methods. Kernel path algorithms have been proposed for several important learning algorithms, including support vector machine and kernelized Lasso, which can fit
Autor:
Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang
Publikováno v:
Knowledge-Based Systems. 274:110616
Autor:
Charles X. Ling
Publikováno v:
Proceedings of the Twentieth Annual Conference of the Cognitive Science Society ISBN: 9781315782416
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c89a0029a79beba737df58f3981ec93
https://doi.org/10.4324/9781315782416-113
https://doi.org/10.4324/9781315782416-113
Publikováno v:
Multimedia Tools and Applications. 79:24281-24301
In an early complain warning system, we encounter a common problem - the lack of angry emotions for training classification models. Moreover, the recognition of angry emotion is more important than that of no-anger emotion. Based on this, the main pu
Publikováno v:
AAAI
Global reasoning plays a significant role in many computer vision tasks which need to capture long-distance relationships. However, most current studies on global reasoning focus on exploring the relationship between pixels and ignore the critical ro