Browsing 08 Information and Computing Sciences by Title

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Browsing 08 Information and Computing Sciences by Title

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  • Hawryszkiewycz, Igor; Yoo, Paul; Kang, Kyeong (Academic Publishing Limited, 2011)
    This paper proposes that modeling of complex systems use multiple perspectives framework to improve understanding of the complex relationships in such systems. This includes relationships between organizational structure, ...
  • Zhang, Peng; Zhu, Xingquan; Zhang, Zhiwang; Shi, Yong (IOS Press, 2010)
    Excessive lose of customer account is becoming a major headache for VIP E-Mail hosting companies. Analysis of what kind of customer is more prone to lose and finding the appropriate measures to sustain those customers has ...
  • Wang, Ying; Zhang, Peng; Nie, Guangli; Shi, Yong (Elsevier, 2009)
    Nowadays, how to effectively predict financial distress has become an important issue for companies, investors and many other user groups. The purpose of this paper is to apply the Multiple Criteria Quadratic Programming ...
  • Wan, Silas; Kodagoda, Sarath; Sehestedt, Stephan (University of Technology, Sydney, 2007)
    With the rise in accident related fatalities on roads, the researchers around the world are looking for solutions including integrating intelligence to vehicles. One cruicial aspects of it is the robust detection and ...
  • Zhu, Xingquan; Jin, Ruoming (Morgan Kaufmann Publishers Inc., 2009)
    Many applications are facing the problem of learning from an objective dataset, whereas information from other auxiliary sources may be beneficial but cannot be integrated into the objective dataset for learning. In ...
  • Zhao, Haifeng; Cheng, Jun; Jiang, Jun; Tao, Dacheng (IEEE, 2013)
    Multiple Instance Learning (MIL) has been widely applied in practice, such as drug activity prediction, content-based im- age retrieval. In MIL, a sample, comprised of a set of in- stances, is called a bag. Labels are ...
  • Yang, Yong; Luo, Dan; Zhang, Chengqi (Springer, 2010)
    With the exponential growth of the world wide web, web services have becoming more and more popular. However, performance monitoring is a key issue in the booming service-orient architecture regime. Under such loosely ...
  • Kusakunniran, Worapan; Wu, Qiang; Li, Hongdong; Zhang, Jian (IEEE, 2009)
    Gait is one of well recognized biometrics that has been widely used for human identification. However, the current gait recognition might have difficulties due to viewing angle being changed. This is because the viewing ...
  • Riudavets, Josep; Felix Navarro, Karla; Lawrence, Elaine; Steele, Robert; Messina, Marco (World Scientific and Engineering Academy and Society (WSEAS), 2004)
  • Zhang, Kaibing; Gao, Xinbo; Tao, Dacheng; Li, Xuelong (IEEE, 2012)
    Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually ...
  • Hu, Qimei; Zhou, Jun; He, Sean (ACM Digital Library, 2004)
  • Yue, Xiaodong; Miao, Dq; Zhang, N; Cao, Longbing; Wu, Qiang (Elsevier Science Inc, 2012)
    Color image segmentation is always an important technique in image processing system. Highly precise segmentation with low computation complexity can be achieved through roughness measurement which approximate the color ...
  • Zhang, Zhengzhi; Kodagoda, Sarath (Casual Productions, 2005)
    Human detection is an important research topic for many researchers who are working with surveillance, safe driving, military and security applications. It is now becoming more and more appropriate with the global increase ...
  • Liu, Bo; Cao, Longbing; Yu, Philip; Zhang, Chengqi (IEEE, 2008)
    In SVMs-based multiple classification, it is not always possible to find an appropriate kernel function to map all the classes from different distribution functions into a feature space where they are linearly separable ...
  • Xiao, Yan Shan; Liu, Bo; Cao, Longbing; Wu, Xindong; Zhang, Chengqi; Hao, Zhifeng; Yang, Fengzhao; Cao, Jie (IEEE Computer Society Press, 2009)
    SVDD has been proved a powerful tool for outlier detection. However, in detecting outliers on multi-distribution data, namely there are distinctive distributions in the data, it is very challenging for SVDD to generate a ...
  • Mclachlan, Skye; Arblaster, Jaimal; Liu, Dikai; Valls Miro, Jaime; Chenoweth, Lynn (IEEE, 2005)
    This paper presents a multi-stage shared control method (MSSC) which can be used to control the movement of a robotic mobility assistant designed to facilitate safe mobilization for people with unstable gait. The multi-stage ...
  • Cao, Longbing (IEEE Computer Soc, 2007)
    Trading agents are very useful for developing and back-testing quality trading strategies to support smart trading actions in the market. However, the existing trading agent research mainly focuses on simple and simulated ...
  • Yaish, Haitham; Goyal, Madhu (IEEE, 2013)
    Multi-tenant database is a new cloud computing paradigm that has recently attracted attention to deliver database functionalities for multiple tenants to create, store, and access their databases over the internet. This ...
  • Li, Jing; Allinson, N; Tao, Dacheng; Li, Xuelong (IEEE-Inst Electrical Electronics Engineers Inc, 2006)
    Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of ...
  • Jamdagni, Aruna; Nanda, Priyadarsi; Liu, Ren Ping; Tan, Thomas; He, Sean (Springer Verlag, 2011)
    The quality of feature has significant impact on the performance of detection techniques used for Denial-of-Service (DoS) attack. The features that fail to provide accurate characterization for network traffic records ...