Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Mulin Chen"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 641-653 (2022)
Hyperspectral imagery (HSI) classification, which attempts to assign hyperspectral pixels with proper labels, has drawn significant attention in various applications. Recently, the graph-based semisupervised learning (SSL) approaches have shown the o
Externí odkaz:
https://doaj.org/article/d41b5e37edb248f6b1e18258689b9f14
Publikováno v:
IEEE Access, Vol 7, Pp 54464-54471 (2019)
As one of the most popular clustering techniques, graph clustering has attracted many researchers in the field of machine learning and data mining. Generally speaking, graph clustering partitions the data points into different categories according to
Externí odkaz:
https://doaj.org/article/e78525050280402d9a9aa5083a8dd4b5
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 8, p 427 (2022)
Understanding the risks posed by potentially toxic metals (PTMs) in large regions is important for environmental management. However, regional risk assessment that relies on traditional field sampling or administrative statistical data is labor-inten
Externí odkaz:
https://doaj.org/article/98006102a2924546a43b48772223840e
Autor:
Mingzi Li, Bingde Yin, Mulin Chen, Jingtao Peng, Xinyu Mu, Zhen Deng, Jiantao Xiao, Weiguo Li, Jie Fan
Publikováno v:
Frontiers in Oncology, Vol 10 (2021)
Clear cell renal cell carcinoma (ccRCC) comprises approximately 75% of renal cell carcinomas, which is one of the most common and lethal urologic cancers, with poor quality of life for patients and is a huge economic burden to health care systems. It
Externí odkaz:
https://doaj.org/article/93dc5f7de9954b3fa857c56bf8517260
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 836 (2018)
Linear Discriminant Analysis (LDA) is a widely-used technique for dimensionality reduction, and has been applied in many practical applications, such as hyperspectral image classification. Traditional LDA assumes that the data obeys the Gaussian dist
Externí odkaz:
https://doaj.org/article/4dd1014a018749588d5968fef7cbfbb2
Publikováno v:
Neurocomputing. 517:62-70
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c10d632e420ad04c13e74674a211e109
https://doi.org/10.1016/j.neucom.2022.10.052
https://doi.org/10.1016/j.neucom.2022.10.052
Publikováno v:
IEEE Transactions on Cybernetics. 52:7291-7302
Linear discriminant analysis (LDA) is a well-known technique for supervised dimensionality reduction and has been extensively applied in many real-world applications. LDA assumes that the samples are Gaussian distributed, and the local data distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52303912b83335d3633222548feb2855
https://doi.org/10.1109/tcyb.2021.3049684
https://doi.org/10.1109/tcyb.2021.3049684
Publikováno v:
Neurocomputing. 475:15-25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1742785d8ad447b6f733bf0adb53e42
https://doi.org/10.1016/j.neucom.2021.12.020
https://doi.org/10.1016/j.neucom.2021.12.020
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
Hyperspectral image (HSI) clustering, which aims at dividing hyperspectral pixels into clusters, has drawn significant attention in practical applications. Recently, many graph-based clustering methods, which construct an adjacent graph to model the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd0b961fd10e398ded9044b6c52687bb
https://doi.org/10.1109/tgrs.2022.3217597
https://doi.org/10.1109/tgrs.2022.3217597
Publikováno v:
IEEE Transactions on Multimedia. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::542bf7de21e3b28623b934cbb477ae0c
https://doi.org/10.1109/tmm.2022.3209022
https://doi.org/10.1109/tmm.2022.3209022