Unsupervised Image Co-segmentation Based on Cooperative Game

Author(s):  
Bo-Chen Lin ◽  
Ding-Jie Chen ◽  
Long-Wen Chang
Keyword(s):  
2014 ◽  
Vol 9 (4) ◽  
pp. 854 ◽  
Author(s):  
Baseem Khan ◽  
Ganga Agnihotri ◽  
Pawan Rathore ◽  
Anuprita Mishra ◽  
Garima Naidu

2010 ◽  
Vol 33 (9) ◽  
pp. 1663-1674 ◽  
Author(s):  
Peng WANG ◽  
Jun-Zhou LUO ◽  
Wei LI ◽  
Yan-Sheng QU ◽  
Feng YU

2009 ◽  
Vol 32 (1) ◽  
pp. 54-68 ◽  
Author(s):  
Yang WANG ◽  
Chuang LIN ◽  
Quan-Lin LI ◽  
Jing-Qi WANG ◽  
Xin JIANG

2003 ◽  
Vol 13 ◽  
pp. 26-29
Author(s):  
A. Bumb ◽  
C. Hoede

Author(s):  
Soheil Mohseni ◽  
Alan C. Brent ◽  
Scott Kelly ◽  
Will N. Browne ◽  
Daniel Burmester

Author(s):  
Luc Champarnaud ◽  
Amandine Ghintran ◽  
Frédéric Jouneau-Sion

Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.


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