Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hairu Guo"'
Autor:
Jun Yang, Jifeng Luo, Qiliang Gan, Leiyu Ke, Fengming Zhang, Hairu Guo, Fuwei Zhao, Yuehu Wang
Publikováno v:
Plant Diversity, Vol 43, Iss 3, Pp 239-247 (2021)
In the Qinba mountainous area of Central China, pig farming has a significant impact on the growth of the rural economy and has substantially increased farmer incomes. Traditional knowledge plays an important role in the selection of forage plant spe
Externí odkaz:
https://doaj.org/article/717a6f4a4d2743569ca5d81867026913
Autor:
Ji-Feng Luo, Qiliang Gan, Hairu Guo, Ke Leiyu, Yue-Hu Wang, Fengming Zhang, Jun Yang, Fu-Wei Zhao
Publikováno v:
Plant Diversity
Plant Diversity, Vol 43, Iss 3, Pp 239-247 (2021)
Plant Diversity, Vol 43, Iss 3, Pp 239-247 (2021)
In the Qinba mountainous area of Central China, pig farming has a significant impact on the growth of the rural economy and has substantially increased farmer incomes. Traditional knowledge plays an important role in the selection of forage plant spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6b70fde5e7f700e3d3d6c57ccb33ae9
http://europepmc.org/articles/PMC8233530
http://europepmc.org/articles/PMC8233530
Publikováno v:
Computer Science & Information Systems; Oct2018, Vol. 15 Issue 3, p549-567, 19p
Publikováno v:
CCIS
Acquirement of real-time and overall traffic information is very important for improving road network efficiency and reducing traffic congestion. This paper proposed an improved non-parametric background model to segment the moving vehicles from traf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40fddb465a1cb7652716c20278854335
https://doi.org/10.1109/ccis.2011.6045117
https://doi.org/10.1109/ccis.2011.6045117
Publikováno v:
2011 International Conference on Multimedia Technology.
In this paper, a visual saliency model is used to detect the traffic signs in the natural images. A number of features consist of intensity, color opponency and orientations are extracted from the image by the model. Without the need for image segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c214e01a9b53ac974683bec400ff3641
https://doi.org/10.1109/icmt.2011.6003061
https://doi.org/10.1109/icmt.2011.6003061
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783642236778
CAIP (2)
CAIP (2)
SalBayes is an efficient visual attention model. We describe an improved SalBayes model with Gaussian Mixture Model (GMM) which can fit the object with various transformations better. The improved model learns the probability of an object's visual ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5ccabae7db1ebd2e15d968619f3db33
https://doi.org/10.1007/978-3-642-23678-5_42
https://doi.org/10.1007/978-3-642-23678-5_42
Publikováno v:
2011 International Conference on Multimedia Technology (ICMT); 2011, p3035-3038, 4p
Publikováno v:
2011 IEEE International Conference on Cloud Computing & Intelligence Systems (CCIS); 2011, p495-499, 5p
Publikováno v:
Proceedings of the International Symposium on Computer Science & Computational Technology; Aug2010, Vol. 2 Issue 1, p414-416, 3p
Publikováno v:
Proceedings of the International Symposium on Computer Science & Computational Technology; Aug2010, Vol. 2 Issue 1, p326-328, 3p