Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Zhezhou Yu"'
Autor:
Zhezhou Yu, Minhu Hu
Publikováno v:
IEEE Access, Vol 12, Pp 82156-82167 (2024)
When the visually impaired walk on the blind road, once they encounter obstacles to block the road, it will bring panic and even safety risks to the visually impaired. To solve this problem, based on the wavelet scattering network (WSN), this study p
Externí odkaz:
https://doaj.org/article/1250170973f6475bb9133374aa3d4e6b
Publikováno v:
Entropy, Vol 26, Iss 10, p 866 (2024)
Beam search is a commonly used algorithm in image captioning to improve the accuracy and robustness of generated captions by finding the optimal word sequence. However, it mainly focuses on the highest-scoring sequence at each step, often overlooking
Externí odkaz:
https://doaj.org/article/d0efede5f4db4ffbafd13442f23c4c2e
Publikováno v:
Entropy, Vol 26, Iss 10, p 876 (2024)
With the development of artificial intelligence and deep learning technologies, image captioning has become an important research direction at the intersection of computer vision and natural language processing. The purpose of image captioning is to
Externí odkaz:
https://doaj.org/article/e3720435c5de4f69ba4c7f29b8bd608f
Publikováno v:
IEEE Access, Vol 7, Pp 167823-167835 (2019)
Constraint Programming (CP) is an efficient technique for solving combinatorial (optimization) problems. In modern constraint solver, a CP Model is defined over reversible variables that take values in domains and propagators which filter the domains
Externí odkaz:
https://doaj.org/article/42e2a9e37cf748e996eb16f5b861560b
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
BackgroundMagnetic resonance imaging (MRI) has a wide range of applications in medical imaging. Recently, studies based on deep learning algorithms have demonstrated powerful processing capabilities for medical imaging data. Previous studies have mos
Externí odkaz:
https://doaj.org/article/73d378c103a64beaaa78cb8d80c53c2c
Publikováno v:
Complexity, Vol 2020 (2020)
Numerous human actions such as “Phoning,” “PlayingGuitar,” and “RidingHorse” can be inferred by static cue-based approaches even if their motions in video are available considering one single still image may already sufficiently explain a
Externí odkaz:
https://doaj.org/article/dd39402d644b41e198256d1c9c7005e3
Publikováno v:
Complexity, Vol 2018 (2018)
We investigate a novel way of robust face image feature extraction by adopting the methods based on Unsupervised Linear Subspace Learning to extract a small number of good features. Firstly, the face image is divided into blocks with the specified si
Externí odkaz:
https://doaj.org/article/060be916c54b480b8d2fdca4ddd70edc
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
In this paper, we proposed a new building recognition method named subregion’s multiscale gist feature (SM-gist) extraction and corresponding columns information based dimensionality reduction (CCI-DR). Our proposed building recognition method is p
Externí odkaz:
https://doaj.org/article/6dff05c6472d4d5787a94a191da2ae1f
Autor:
Guozhe Jin, Zhezhou Yu
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 20:1-13
Part-of-speech (POS) tagging is a fundamental task in natural language processing. Korean POS tagging consists of two subtasks: morphological analysis and POS tagging. In recent years, scholars have tended to use the seq2seq model to solve this probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::246db28e0bf94a511d27cc7a5841886e
https://doi.org/10.1145/3421762
https://doi.org/10.1145/3421762
Publikováno v:
Wireless Communications and Mobile Computing.
In order to solve the problem that it is difficult for traditional manual feature algorithms to deal with complex image features quickly and automatically in high-resolution images, an automatic detection method for small objects in high-resolution i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91e165f0da1b7cb90f302ad579cfabe5