Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Fu-Wen Yang"'
Autor:
Fu-Wen Yang, 楊富文
93
The number of clusters of a data set is not known in most real life situations, and no clustering system is capable of efficiently automated forming nature groups of the input patterns in these situations. Such difficult problems are called u
The number of clusters of a data set is not known in most real life situations, and no clustering system is capable of efficiently automated forming nature groups of the input patterns in these situations. Such difficult problems are called u
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/82461999139557420974
Colletotrins A-C, three new sesquiterpenes from the endophytic fungus Colletotrichum iris strain S11
Autor:
Ning Chen, Shi-Yu Qiu, Song-Mei Lu, Shi-Wei Chen, Ji-Rui Wei, Fu-Wen Yang, Hui-Chun Geng, Min Zhou
Publikováno v:
Phytochemistry Letters. 55:34-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::299295589e9d3f8c99dcac40cb2494b0
https://doi.org/10.1016/j.phytol.2023.03.010
https://doi.org/10.1016/j.phytol.2023.03.010
Publikováno v:
IEEE Transactions on Automation Science and Engineering. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9b3e75e582e29dab7250d29288108dd
https://doi.org/10.1109/tase.2023.3270489
https://doi.org/10.1109/tase.2023.3270489
Autor:
Yong-Hui He, Min Zhou, Hui-Chun Geng, Shi-Yu Qiu, Shi-Wei Chen, Song-Mei Lu, Fu-Wen Yang, Ji-Rui Wei
Publikováno v:
HETEROCYCLES. 106:888
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d1e8a781d91dab98c90df4219be23a1
https://doi.org/10.3987/com-23-14828
https://doi.org/10.3987/com-23-14828
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
It is an interesting and challenging problem to synthesise vivid facial expression images. In this paper, we propose a facial expression synthesis system which imitates a reference facial expression image according to the difference between shape fea
Externí odkaz:
https://doaj.org/article/92f4eac540084b47b5701a45dd3ca6be
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures. 233:345-348
C60H50Co2N9O15, triclinic, P1̅ (no. 2), a = 13.6074(19) Å, b = 13.9185(17) Å, c = 15.837(2) Å, α = 81.196(4)°, β = 86.607(4)°, γ = 81.665(4)°, Z = 2, V = 2930.7(7) Å3, R gt(F) = 0.0564, wR ref(F 2) = 0.2010, T = 296(2) K.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edf5dabc41508cbd82cf60b5d43d7878
https://doi.org/10.1515/ncrs-2017-0122
https://doi.org/10.1515/ncrs-2017-0122
Publikováno v:
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ca18bdc2e5d3ee6f9468a14021eb98e
https://doi.org/10.1109/uic-atc.2017.8397472
https://doi.org/10.1109/uic-atc.2017.8397472
Publikováno v:
KSII Transactions on Internet and Information Systems. 8:462-482
This paper proposes a new resampling detection method for images that detects whether an image has been resampled and recovers the corresponding resampling rate. The proposed method uses a given set of zeroing masks for various resampling factors to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d9d9dd09d66fb241ea100e4844d1d8
https://doi.org/10.3837/tiis.2014.02.008
https://doi.org/10.3837/tiis.2014.02.008
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 33:1954020
Recently, deep convolutional neural networks have resulted in noticeable improvements in image classification and have been used to transfer artistic style of images. Gatys et al. proposed the use of a learned Convolutional Neural Network (CNN) archi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0edc9256a12d5ad5fe2d9e5930dfe450
https://doi.org/10.1142/s021800141954020x
https://doi.org/10.1142/s021800141954020x
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 20:525-541
This paper proposes a Content-Based Image Retrieval (CBIR) system applicable in mobile devices. Due to the fact that different queries to a content-based image retrieval (CBIR) system emphasize different subsets of a large collection of features, mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa63804b4028e881ea706050b5384f48
https://doi.org/10.1142/s021800140600482x
https://doi.org/10.1142/s021800140600482x