Supported by the National Basic Research Program of China(No.2013CB329502);the National Natural Science Foundation of China(No.61202212);the Special Research Project of the Educational Department of Shaanxi Province of China(No.15JK1038);the Key Research Project of Baoji University of Arts and Sciences(No.ZK16047)
Automatic image annotation has been an active topic of research in computer vision and pattern recognition for decades.A two stage automatic image annotation method based on Gaussian mixture model(GMM) and random walk...
supported by the National Natural Science Foundation of China(Grant No.:71173164);the National Key Technology R&D Program of the Ministry of Science and Technology of China(GrantNo.:2012BAH33F03)
Purpose:In this paper,we attempt to use query refinements to identify users' search intents and seek a method for intent clustering based on real world query data.Design/methodology/approach:An experiment has been con...
Supported by the National Basic Research Programme of China under Grant No 2006CB705500, the National Natural Science Foundation of China under Grant Nos 60744003, 10635040, 10532060 and 10472116, the Special Research Funds for Theoretical Physics Frontier Problems (NSFC Nos 10547004 and A0524701), the President Funding of Chinese Academy of Sciences, and the Specialized Research Fund for the Doctoral Programme of Higher Education of China.
We propose a simple mechanism for generating scale-free networks with degree exponent γ=3, where the new node is connected to the existing nodes by step-by-step random walk. It is found that the clique-degree distrib...
Supported in part by Grant G1999075106 from the Ministry of Science and Technology of China
The authors consider the simple random walk on the infinite cluster of the Bernoulli bond percolation of trees, and investigate the relation between the speed of the simple random walk and the retaining probability p ...