Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Palidan Tuerxun"'
Publikováno v:
IEEE Access, Vol 12, Pp 26819-26829 (2024)
Building a human-like dialogue system is a challenging task that requires effective use of context, common sense and personal information. In a conversation, the responder usually analyzes the emotion, intention, and common sense involved in the spea
Externí odkaz:
https://doaj.org/article/bc44b2b1fb3b469aa29bde565541e860
Identifying Hate Speech Through Syntax Dependency Graph Convolution and Sentiment Knowledge Transfer
Publikováno v:
IEEE Access, Vol 12, Pp 2730-2741 (2024)
In recent years, hate speech spread on the Internet has seriously affected society’s harmony, stability, and development. A way to quickly identify hate speech from the vast amount of data on the Internet is urgent. In this paper, different from pr
Externí odkaz:
https://doaj.org/article/d676ee9db0f4454a9d36788d12b14f09
Publikováno v:
Journal of Applied Remote Sensing. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb7cfe5c49ab90f66733a78c0dfc507e
https://doi.org/10.1117/1.jrs.17.026508
https://doi.org/10.1117/1.jrs.17.026508
Publikováno v:
Journal of Applied Remote Sensing. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4279a6160359caa55f6f8fb96e5383e
https://doi.org/10.1117/1.jrs.17.022205
https://doi.org/10.1117/1.jrs.17.022205
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53e488d11b240cceb2b7b09ec1e25e50
https://doi.org/10.1109/icpr56361.2022.9955642
https://doi.org/10.1109/icpr56361.2022.9955642
Publikováno v:
Wireless Networks. 27:3483-3495
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7395c5140383f3c3fa16e09bb6bd51b
https://doi.org/10.1007/s11276-019-02221-1
https://doi.org/10.1007/s11276-019-02221-1
Publikováno v:
2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS).
This paper present a printed document retrieval system which can retrieve Chinese and Uyghur keywords from printed document images. In this paper we introduce the framework of the printed document retrieval system and processing step behind it which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e047dfb65f6dbd98e2d0bc69fbfdcb96
https://doi.org/10.1109/icitbs.2019.00137
https://doi.org/10.1109/icitbs.2019.00137
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813292970
Key word spotting plays an important role in the field of Uyghur printed document retrieval. However, the cursive nature of Uyghur script causes some drawbacks for retrieving a word correctly with word spotting approach based on SIFT (Scale Invariant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c24dfc8f57a9e3d499ec747ddf0dc07
https://doi.org/10.1007/978-981-32-9298-7_9
https://doi.org/10.1007/978-981-32-9298-7_9
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813292970
Recently, neural machine translation (NMT) has made significant achievements in multiple language pairs, and surpassed traditional statistical machine translation. However, NMT has strict restrictions on vocabulary, which leads to out-of-vocabulary (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64d0e30535430eb18782030f37435490
https://doi.org/10.1007/978-981-32-9298-7_15
https://doi.org/10.1007/978-981-32-9298-7_15
Publikováno v:
Simulation Tools and Techniques ISBN: 9783030322151
SimuTools
SimuTools
This paper presents an effective text-line segmentation algorithm and evaluates its performance on Uyghur handwritten text document images. Projection based adaptive threshold selection mechanism is implemented to detect and segment the text lines wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9efcbcb2d110e27040ee0cd8668701ef
https://doi.org/10.1007/978-3-030-32216-8_29
https://doi.org/10.1007/978-3-030-32216-8_29