Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Shu-Wei Jin"'
Publikováno v:
Multimedia Tools and Applications. 78:28331-28354
Image denoising is one of the challenging topics in image processing. Since the formation mechanism of the degraded image is unknown, it is difficult to achieve effective image denoising. Most existing denoising methods are easy to blur the edges of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc56d484841fe410e6ae82ab25183e1
https://doi.org/10.1007/s11042-019-07912-7
https://doi.org/10.1007/s11042-019-07912-7
Autor:
Cong Jin, Shu-Wei Jin
Publikováno v:
IET Image Processing. 13:623-633
Currently, multi-label automatic image annotation (MAIA) approach based on machine learning has been widely applied and developed. Since extreme learning machine (ELM) has the advantages of simple structure, fast learning speed, better generalisation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e2a3329fb3c6faaebc2a55d4e274be5
https://doi.org/10.1049/iet-ipr.2018.5371
https://doi.org/10.1049/iet-ipr.2018.5371
Publikováno v:
Annual International Conference on Computational Mathematics, Computational Geometry & Statistics. 2016, p123-126. 4p.
Publikováno v:
Multimedia Tools and Applications. 78:11815-11834
Automated image annotation (AIA) is an important issue in computer vision and pattern recognition, and plays an extremely important role in retrieving large-scale images. In many image annotation approaches, different regions of the image are process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55ae3a8334751de05495dbeb593d2365
https://doi.org/10.1007/s11042-018-6742-6
https://doi.org/10.1007/s11042-018-6742-6
Autor:
Shu-Wei Jin, Cong Jin
Publikováno v:
Journal of Visual Communication and Image Representation. 55:720-728
How to retrieve the desired images quickly and accurately from the large scale image database has become a hot topic in the field of multimedia research. Many content-based image retrieval (CBIR) technologies already exist, but they are not always sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8430c84f9b760bf30da6bff47148833e
https://doi.org/10.1016/j.jvcir.2018.08.009
https://doi.org/10.1016/j.jvcir.2018.08.009
Autor:
Cong Jin1 jincong@mail.ccnu.edu.cn, Shu-Wei Jin2
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2016, Vol. 30 Issue 1, p245-256. 12p.
Autor:
Shu-Wei Jin, Cong Jin
Publikováno v:
IET Syst Biol
A number of different gene selection approaches based on gene expression profiles (GEP) have been developed for tumour classification. A gene selection approach selects the most informative genes from the whole gene space, which is an important proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a45cfad512b48370a31cf73b477197d
https://doi.org/10.1049/iet-syb.2015.0064
https://doi.org/10.1049/iet-syb.2015.0064
Autor:
Shu-Wei Jin, Cong Jin
Publikováno v:
Applied Soft Computing. 40:283-291
The proposed approach does not require any assumption for software failure data.Implementation of the proposed approach is very easy.The proposed SRGMTEF has a reasonable predictive capability. Software reliability growth model (SRGM) with testing-ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::187f0a93f84c85f1d3dea744f15fc9b4
https://doi.org/10.1016/j.asoc.2015.11.041
https://doi.org/10.1016/j.asoc.2015.11.041
Autor:
Cong Jin, Shu-Wei Jin
Publikováno v:
Journal of Visual Communication and Image Representation. 34:167-175
Display Omitted Knowledge of the samples with and without caption is sufficiently considered.The number of labels is completely determined by the image content.The proposed AIA approach can automatically implemented. Since there is semantic gap betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7be729b5c246077ddb74c958bd863e8b
https://doi.org/10.1016/j.jvcir.2015.10.017
https://doi.org/10.1016/j.jvcir.2015.10.017
Autor:
Cong Jin, Shu-Wei Jin
Publikováno v:
Applied Soft Computing. 35:717-725
We present a hybrid method using ANN and QPSO for software fault-prone prediction.ANN is used for the classification of software modules.QPSO is controlled more easily than PSO. The identification of a module's fault-proneness is very important for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dddff9bbcd3f587d393f6ebe0d4dcdf1
https://doi.org/10.1016/j.asoc.2015.07.006
https://doi.org/10.1016/j.asoc.2015.07.006