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  • Chen, Zhuo; Ngo, Huu Hao; Guo, Wenshan; Wang, Xiaochang; Luo, Li (University of Technology Sydney, 2011)
    Hundreds of recycled water schemes have been successfully established in Australia. However, water quality and risks on human health and the environment associated with particular end uses (e.g. irrigation, industrial uses, ...
  • Cao, Yongzhi; Xia, Lirong; Ying, Mingsheng (Elsevier, 2013)
    Usually, probabilistic automata and probabilistic grammars have crisp symbols as inputs, which can be viewed as the formal models of computing with values. In this paper, we ?rst introduce probabilistic automata and ...
  • Feng, Yuan; Duan, Runyao; Ji, Zhengfeng; Ying, Mingsheng (Academic Press Inc Elsevier Science, 2007)
    Modeling and reasoning about concurrent quantum systems is very important for both distributed quantum computing and quantum protocol verification. As a consequence, a general framework formally describing communication ...
  • Swait Jr, Joffre; Marley, Anthony (Elsevier, 2013)
    We conceptualize probabilistic choice as the result of the simultaneous pursuit of multiple goals in a vector optimization representation, which is reduced to a scalar optimization that implies goal balancing. The majority ...
  • Feng, Yuan; Zhang, Shengyu; Ying, Mingsheng (American Physical Soc, 2002)
    We construct a probabilistic cloning and deleting machine which, taking several copies of an input quantum state, can output a linear superposition of multiple cloning and deleting states. Since the machine can perform ...
  • Zhang Shichao; Zhang Chengqi (Australian Mathermatical Society, 2004)
  • Song, Mingli; Tao, Dacheng; Chen, Chun; Bu, Jiajun; Luo, Jiebo; Zhang, Chengqi (IEEE-Inst Electrical Electronics Engineers Inc, 2012)
    The luminance of a natural scene is often of high dynamic range (HDR). In this paper, we propose a new scheme to handle HDR scenes by integrating locally adaptive scene detail capture and suppressing gradient reversals ...
  • Yu, Y; Zhu, Xinhua; Li, M; Wang, G; Luo, Dan (Springer, 2013)
    Recently, all kinds of data in real-life have exploded in an unbelievable way. In order to manage these data, dataspace has been becoming a universal platform, which contains various kinds of data, such as unstructured ...
  • Patel, Miteshkumar (Mitesh) (2014)
    This thesis explores probabilistic techniques to model interactions between humans and robotic devices. The work is motivated by the rapid increase in the ageing population and the role that assistive robotic devices can ...
  • Li, Jun; Tao, Dacheng; Li, Xuelong (Elsevier, 2012)
    For image analysis, an important extension to principal component analysis (PCA) is to treat an image as multiple samples, which helps alleviate the small sample size problem. Various schemes of transforming an image to ...
  • Marley, Anthony; Flynn, Terry; Louviere, Jordan (Academic Press, 2008)
    We characterize a class of probabilistic choice models where the choice probabilities depend on two scales, one with a value for each available option and the other with a value for the set of available options. Then, we ...
  • Patel, Miteshkumar; Khushaba, Rami; Valls Miro, Jaime; Dissanayake, Gamini (Australasian Conference on Robotics and Automation, 2010)
    Detection of individuals' intentions and actions from a stream of human behaviour is an open and complex problem. There is however an intrinsic need to automatically recognise the activities performed by users of mobility ...
  • Chang, Lijun; Yu, Jeffrey; Qin, Lu; Lin, Xuemin (ACM, 2010)
    Probabilistic top-k ranking queries have been extensively studied due to the fact that data obtained can be uncertain in many real applications. A probabilistic top-k ranking query ranks objects by the interplay of score ...
  • Al-Hmouz, Rami; Gulrez, Tauseef; Al-Jumaily, Adel Ali (IEEE, 2004)
    The paper presents an experimental study of a probabilistic road map (PRM) based obstacle avoiding algorithm, for motion planning of a non-holonomic mobile robot in a cluttered dynamic environment. The PRM approach uses a ...
  • Purba, Julwan Hendry; Lu, Jie; Ruan, Da; Zhang, Guangquan (World Scientific Publishing Co. Pte. Ltd., 2010)
    Probabilistic safety assessment in nuclear power plants (NPPs) greatly considers plant safety and optimal plant design. Plant specific data are usually recommended to analyze safety in NPPs. However, such NPP specific data ...
  • Lau, Haye; Huang, Shoudong; Dissanayake, Gamini (IEEE, 2006)
    We consider a search for a target moving within a known indoor environment partitioned into interconnected regions of varying sizes. The knowledge of target location is described as a probability distribution over the ...
  • Zhang, Wenjie; Lin, Xuemin; Zhang, Ying; Wang, Wei; Zhu, Gaoping; Yu, Jeffrey (Elsevier, 2013)
    Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of efficiently computing the skyline over sliding windows on uncertain data elements against probability ...
  • Zhang, Wenjie; Lin, Xuemin; Zhang, Ying; Wang, Wei; Yu, Jeffrey (IEEE, 2009)
    Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of efficient processing of continuous skyline queries over sliding windows on uncertain data elements ...
  • Tao, Dacheng; Sun, Jimeng; Wu, Xindong; Li, Xuelong; Shen, Jialie; Maybank, Stephen; Faloutsos, Christos (Springer-Verlag Berlin / Heidelberg, 2008)
    From data mining to computer vision, from visual surveillance to biometrics research, from biomedical imaging to bioinformatics, and from multimedia retrieval to information management, a large amount of data are naturally ...
  • Stevenson, M. J; Partington, G. (Marcel Dekker Inc, 2003)
    In this paper, we develop models for estimating the time varying probability that there will be a price reversal in the property market. Knowledge of such price reversals may be helpful in forming property trading ...