Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Xixin Cao"'
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3823 (2024)
In this paper, we introduce a novel rate control scheme specifically tailored for live broadcasting scenarios. Notably, in high-definition live transmissions of sports events and video game competitions that typically exceed 1080 p resolution and run
Externí odkaz:
https://doaj.org/article/aa2021b353484727b46d549170b00588
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3533 (2024)
With the continuous enhancement of privacy protection globally, there is a problem for the traditional machine learning paradigm, which is that training data cannot be obtained from a single place. Federated learning is considered a viable technique
Externí odkaz:
https://doaj.org/article/a19c6f17f10741458aaa4b5c5c4c6aab
Publikováno v:
Complexity, Vol 2021 (2021)
In face recognition systems, highly robust facial feature representation and good classification algorithm performance can affect the effect of face recognition under unrestricted conditions. To explore the anti-interference performance of convolutio
Externí odkaz:
https://doaj.org/article/f61bb496f7284d86a9ada81a87e7a63d
Publikováno v:
Complexity, Vol 2021 (2021)
In face recognition systems, highly robust facial feature representation and good classification algorithm performance can affect the effect of face recognition under unrestricted conditions. To explore the anti-interference performance of convolutio
Publikováno v:
IJCNN
As an important field of research in Human-Machine Interactions, emotion recognition based on the electroencephalography (EEG) signals has become common research. The traditional machine learning approaches use well-designed classifiers with hand-cra
Publikováno v:
ICASSP
As a concise framework, Mask R-CNN achieves promising performance in object detection and instance segmentation. However, there is room for improvement in two aspects. One is that performing multi-task prediction needs more credible feature extractio
Publikováno v:
ICASSP
Event cameras have many benefits than conventional cameras, such as high temporal resolution, high dynamic range. However, because the outputs of event cameras are asynchronous event streams than intensity images, Frame-based algorithms cannot be dir
There has been an encouraging progress in the affective states recognition models based on the single-modality signals as electroencephalogram (EEG) signals or peripheral physiological signals in recent years. However, multimodal physiological signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c81e67eed90f7562dc33027fdfb36f1d
http://arxiv.org/abs/1911.12918
http://arxiv.org/abs/1911.12918
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811310256
The traditional CNN algorithm requires a great deal of computation and is difficult to be optimized. The computation of throughput on the hardware platform does not match the memory bandwidth very well. The existing scheme doesn’t take full advanta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0be92bcc417e0e96c5d8f6604874e8c4
https://doi.org/10.1007/978-981-13-1026-3_10
https://doi.org/10.1007/978-981-13-1026-3_10
Publikováno v:
Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018).