Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Wing W. Y. Ng"'
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2780 (2024)
Gait recognition is a long-distance biometric technique with significant potential for applications in crime prevention, forensic identification, and criminal investigations. Existing gait recognition methods typically introduce specific feature refi
Externí odkaz:
https://doaj.org/article/e41c25316b5e43b3b1be544c1a27f1ae
Publikováno v:
IEEE Access, Vol 8, Pp 152713-152727 (2020)
Music genre recognition (MGR) plays a fundamental role in the context of music indexing and retrieval. Unlike images, music genres consist of immediate characteristics that are highly diversified with abstractions in different levels. However, most r
Externí odkaz:
https://doaj.org/article/f88701b05d144df0a9e61038157e8473
Autor:
Jincheng Li, Wing W. Y. Ng
Publikováno v:
IEEE Access, Vol 8, Pp 205455-205466 (2020)
this article, we propose Sensitivity Minimization Learning (SML) to overcome the performance degradation problem caused by features corruption at the testing phase by using the stochastic sensitivity measure (STSM) as a regularizer. The STSM measures
Externí odkaz:
https://doaj.org/article/5dd72aabb37540c394b5b425d62c06d4
Publikováno v:
Sensors, Vol 20, Iss 1, p 216 (2019)
In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-driven approaches rely on good quality data during training, however, a shortage of high quality, large-scale, and accurately annotated HAR datasets exists fo
Externí odkaz:
https://doaj.org/article/7a8a36821e6a44b182997c0008252d69
Publikováno v:
IEEE Transactions on Big Data. :1-13
Publikováno v:
IEEE Transactions on Multimedia. :1-12
Publikováno v:
IEEE Internet of Things Journal. 9:25424-25437
Publikováno v:
International Journal of Machine Learning and Cybernetics. 14:1725-1738
COVID-19 has resulted in a significant impact on individual lives, bringing a unique challenge for face retrieval under occlusion. In this paper, an occluded face retrieval method which consists of generator, discriminator, and deep hashing retrieval
Publikováno v:
International Journal of Machine Learning and Cybernetics. 14:773-787
Publikováno v:
IEEE Transactions on Human-Machine Systems. 52:963-972