Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shi‐Bin Xuan"'
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 418-427 (2023)
Abstract Medical image segmentation plays a vital role in computer‐aided diagnosis and intelligent medical treatment. It can preprocess medical images to help doctors better diagnose diseases. Class activation map (CAM) is an important technology i
Externí odkaz:
https://doaj.org/article/3edde8077d0a4303bdf64127063991cf
Publikováno v:
IET Image Processing. 17:418-427
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcad5bf31959d750c17a382f817b05e7
https://doi.org/10.1049/ipr2.12642
https://doi.org/10.1049/ipr2.12642
Publikováno v:
Current medical imaging.
Background: Using a classification network to generate class activation mapping (CAM) is a mainstream method for weakly supervised semantic segmentation. However, for brain tumor images, CAM cannot fit the boundary of the tumor well. Objective: To im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a6514bb2a6c961d2b505906ac97cec
https://pubmed.ncbi.nlm.nih.gov/35993462
https://pubmed.ncbi.nlm.nih.gov/35993462
Publikováno v:
Intelligent Computing Theories and Technology ISBN: 9783642394812
ICIC (2)
ICIC (2)
To improve accuracy and robustness of video target tracking, a tracking algorithm based on a new adaptive particle swarm optimization particle filter (NAPSOPF) is proposed. A novel inertia weight generating strategy is proposed to balance adaptively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f81dba98f2fd7be77fa17fd408cd73f0
https://doi.org/10.1007/978-3-642-39482-9_19
https://doi.org/10.1007/978-3-642-39482-9_19
An Advanced Particle Swarm Optimization Based on Good-Point Set and Application to Motion Estimation
Publikováno v:
Intelligent Computing Theories and Technology ISBN: 9783642394812
ICIC (2)
ICIC (2)
In this paper, an advanced particle swarm optimization based on good-point set theory is proposed to reduce the deviation of the two random numbers selected in velocity updating formula. Good-point set theory can choose better points than random sele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f1903bc430293201648107c17be8c1b
https://doi.org/10.1007/978-3-642-39482-9_57
https://doi.org/10.1007/978-3-642-39482-9_57
Publikováno v:
Mathematical Problems in Engineering, Vol 2013 (2013)
In view of the fact that the classical fast motion estimation methods are easy to fall into local optimum and suffer the high computational cost, the convergence of the motion estimation method based on the swarm intelligence algorithm is very slow.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaa774428c60225c5509ef9683124866
Publikováno v:
Advanced Intelligent Computing ISBN: 9783642247279
ICIC (1)
ICIC (1)
The image fusion is one of the important research areas of data fusion. The wavelet-based fusion is the most popular image fusion methods at present. To remove "block" appeared in the results of wavelet-based fusion, the paper proposes a window-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61722ec2a5a5ab767f4cabb59ca6cf6
https://doi.org/10.1007/978-3-642-24728-6_46
https://doi.org/10.1007/978-3-642-24728-6_46
Autor:
Shi-Bin Xuan, Yiguang Liu
Publikováno v:
FSKD
In the pattern recognition subspace method, the researcher has paid more attention to extract feature subspace, then expressed individual prototype with the training sample mean. Because the number of training sample is limited, there is certain diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bcf851f72a425c98e47c0c2b8485716
https://doi.org/10.1109/fskd.2010.5569457
https://doi.org/10.1109/fskd.2010.5569457
Publikováno v:
2009 Chinese Conference on Pattern Recognition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ca64e40cd4c627cdcf210896f29efa3
https://doi.org/10.1109/ccpr.2009.5344070
https://doi.org/10.1109/ccpr.2009.5344070
Autor:
Shi-Bin Xuan, LeJun Shen
Publikováno v:
FSKD (1)
In subspace approaches for the pattern recognition, the transform fashion is paid more attentions but the correlation between subspaces is given little concern in previous research. By mapping the space of all training samples to the corresponding su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9244d5c6ab3df597fc4a51bb578e866a
https://doi.org/10.1109/fskd.2009.233
https://doi.org/10.1109/fskd.2009.233