Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Xu-cheng Yin"'
Publikováno v:
IEEE Access, Vol 6, Pp 19419-19426 (2018)
Video has become one of the dominant data resources with the development of the Internet. As a result, the structured sorting of videos, which can be used for storage and extraction, represents a growing concern in the community. In particular, the t
Externí odkaz:
https://doaj.org/article/206b8a5432be440499c585c59030adac
Publikováno v:
IEEE Access, Vol 6, Pp 45448-45457 (2018)
The conventional sequential dependence model (SDM) has been proved to perform better than the bag of words model for biomedical article search because it pays attention to the sequence information within queries. Meanwhile, introducing lexical semant
Externí odkaz:
https://doaj.org/article/a11f7052ef6f4a799a5f8647208d85e2
Publikováno v:
Big Data Analytics, Vol 3, Iss 1, Pp 1-11 (2018)
Abstract Background In recent years, video becomes the dominant resource of information on the Web, where the text within video usually carries significant semantic information. Video text extraction and recognition plays an essential role in web mul
Externí odkaz:
https://doaj.org/article/ecb674af0ee14d18b89bf77df41f7d40
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1318 (2021)
Object detection is a significant and challenging problem in the study of remote sensing. Since remote sensing images are typically captured with a bird’s-eye view, the aspect ratios of objects in the same category may obey a Gaussian distribution.
Externí odkaz:
https://doaj.org/article/6bda992a0440425abe6a090cbc24b7f4
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0197933 (2018)
Deep learning techniques, e.g., Convolutional Neural Networks (CNNs), have been explosively applied to the research in the fields of information retrieval and natural language processing. However, few research efforts have addressed semantic indexing
Externí odkaz:
https://doaj.org/article/644a2746255c4b7c87dbd40a4bf31621
Autor:
Chao Zhu, Xu-Cheng Yin
Publikováno v:
Sensors, Vol 19, Iss 4, p 780 (2019)
Significant progress has been achieved in the past few years for the challenging task of pedestrian detection. Nevertheless, a major bottleneck of existing state-of-the-art approaches lies in a great drop in performance with reducing resolutions of t
Externí odkaz:
https://doaj.org/article/09356233947c4af898872271bf460767
Publikováno v:
Science and Technology of Nuclear Installations, Vol 2016 (2016)
Sensors health monitoring is essentially important for reliable functioning of safety-critical chemical and nuclear power plants. Autoassociative neural network (AANN) based empirical sensor models have widely been reported for sensor calibration mon
Externí odkaz:
https://doaj.org/article/1b7292a40afd4ed59e9576a677979a47
Autor:
Xu-Cheng Yin, Bo-Wen Zhang, Xiao-Ping Cui, Jiao Qu, Bin Geng, Fang Zhou, Li Song, Hong-Wei Hao
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0148479 (2016)
Effective book search has been discussed for decades and is still future-proof in areas as diverse as computer science, informatics, e-commerce and even culture and arts. A variety of social information contents (e.g, ratings, tags and reviews) emerg
Externí odkaz:
https://doaj.org/article/cba92052b2044c1c88b2fd28a9c7ae9b
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0126200 (2015)
Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. Since text is a rich source of information in figures, automatically extracting such text may assist in the task of minin
Externí odkaz:
https://doaj.org/article/4fca0a31e27e4cba90703ea8e6e20094
Manipulating latent code in generative adversarial networks (GANs) for facial image synthesis mainly focuses on continuous attribute synthesis (e.g., age, pose and emotion), while discrete attribute synthesis (like face mask and eyeglasses) receives
Externí odkaz:
http://arxiv.org/abs/2207.05300
