Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Song, Jin Ping"'
Autor:
Wang, Jian, Guo, Wan-jun, Zhang, Lan, Deng, Wei, Wang, Hui-yao, Yu, Jian-ying, Luo, Shan-xia, Huang, Ming-jin, Dong, Zai-quan, Li, Da-Jiang, Song, Jin-ping, Jiang, Yu, Cheng, Nan-sheng, Liu, Xie-he, Li, Tao
Publikováno v:
In Comprehensive Psychiatry July 2017 76:87-97
Publikováno v:
In Journal of Molecular Structure 5 May 2016 1111:126-131
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy November 2012 97:155-160
Publikováno v:
In Talanta 2010 82(2):681-686
Publikováno v:
Chinese Geographical Science. 25:375-388
With the urban expansion and economic restructuring, the jobs-housing relationship has become an important issue in studies on urban spatial structure. This paper employed a job accessibility model, which is an evaluation instrument to measure the jo
Publikováno v:
Journal of Resources and Ecology. 5:228-236
The energy consumption of Chinas metropolitan areas has expanded from production areas to other areas such as the service area, and characteristics differ across small and medium-sized cities. Using the Logarithmic Mean Divisia Index (LMDI) decomposi
Maximal attractors for the compressible Navier–stokes equations of viscous and heat conductive fluid
Autor:
Song Jin-ping, Qin Yuming
Publikováno v:
Acta Mathematica Scientia. 30:289-311
This article is concerned with the existence of maximal attractors in Hi (i=1,2,4) for the compressible Navier–Stokes equations for a polytropic viscous heat conductive ideal gas in bounded annular domains Ωn in ℝn (n = 2,3). One of the importan
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Autor:
Wang, Jian, Guo, Wan-jun, Zhang, Lan, Deng, Wei, Wang, Hui-yao, Yu, Jian-ying, Luo, Shan-xia, Huang, Ming-jin, Dong, Zai-quan, Li, Da-Jiang, Song, Jin-ping, Jiang, Yu, Cheng, Nan-sheng, Liu, Xie-he, Li, Tao
Publikováno v:
In Comprehensive Psychiatry January 2019 88:90-90
Publikováno v:
CSIE (7)
The article adopts the image decomposition idea in MS (Mumford-Shah) model, and proposes a new MSWD (Mumford-Shah with Decomposition) model. Based on the model, with the piecewise constant level set method, we propose an image segmentation algorithm.