Browsing 08 Information and Computing Sciences by Title

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Browsing 08 Information and Computing Sciences by Title

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  • Cao, Longbing (IGI Global, 2009)
    Actionable knowledge discovery is selected as one of the greatest challenges (Ankerst, 2002; Fayyad, Shapiro, & Uthurusamy, 2003) of next-generation knowledge discovery in database (KDD) studies (Han & Kamber, 2006). In ...
  • Liu, Jia; Yang, Jie; Zhang, Yi; He, Sean (IEEE Computer Society, 2010)
    In this paper we propose a novel framework for action recognition based on multiple features for improve action recognition in videos. The fusion of multiple features is important for recognizing actions as often a single ...
  • Martincic, Anita; Dovey, Kenneth (Inderscience Publishers, 2011)
    The paper outlines an action research project conducted within an Australian public sector organisation with the purpose of changing a key internal business process. Despite the significant challenges incurred by using a ...
  • Vidal Calleja, Teresa; Sanfeliu, A; Andrade-Cetto, J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
    A method for evaluating, at video rate, the quality of actions for a single camera while mapping unknown indoor environments is presented. The strategy maximizes mutual information between measurements and states to help ...
  • Kumar, Madhu; Sankaran, Shankar (Springer, 2006)
    This paper analyses the actions of Mahabharat from the point of view of action science. From the point of view of action science, the source of the problem of Mahabharat is the undiscussable issue of who should be the ...
  • Olsson, Michael; Heizmann, Helena; Yerbury, Hilary (ToKnowPress, 2013)
    Active Citizenship and Knowledge Management: A Practice-based Perspective
  • Zhang, Jian; Liu, Xianghang (IEEE, 2011)
    This paper presents an active learning approach for recognizing human actions in videos based on multiple kernel combined method. We design the classifier based on Multiple Kernel Learning (MKL) through Gaussian Processes ...
  • Zhu, Xingquan; Fu, Yifan; Elmagarmid, Ahmed (IEEE, 2013)
    Active learning (AL) traditionally relies on some instance-based utility measures (such as uncertainty) to assess individual instances and label the ones with the maximum values for training. In this paper, we argue that ...
  • Chaczko, Zenon; Chiang, Frank; Braun, Robin (Springer, 2007)
    There is a list of very much needed object-oriented and autonomous paradigms that are currently absent from traditional implementations of MIBs in telecommunication systems. We argue that some of autonomous features can ...
  • Tian, Xinmei; Tao, Dacheng; Hua, Xian-Sheng; Wu, Xiuqing (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    Image search reranking methods usually fail to capture the user's intention when the query term is ambiguous. Therefore, reranking with user interactions, or active reranking, is highly demanded to effectively improve the ...
  • Leung, Cindy; Huang, Shoudong; Dissanayake, Gamini (IEEE, 2006)
    Active SLAM poses the challenge for an autonomous robot to plan efficient paths simultaneous to the SLAM process. The uncertainties of the robot, map and sensor measurements, and the dynamic and motion constraints need to ...
  • Cao, Longbing (Springer-Verlag Berlin, 2006)
    Activity data accumulated in real life, e.g. in terrorist activities and fraudulent customer contacts, presents special structural and semantic complexities. However, it may lead to or be associated with significant business ...
  • Cao, Longbing; Zhao, Yanchang; Zhang, Chengqi; Zhang, Huaifeng (World Scientific Publ Co Pte Ltd, 2008)
    Activity data accumulated in real life, such as terrorist activities and governmental customer contacts, present special structural and semantic complexities. Activity data may lead to or be associated with significant ...
  • Danylak, Roman; Edmonds, Ernest (Australia CRC for Interaction Design, 2005)
    Digitisation has ushered in profound changes in human communication, effects that as yet are still poorly understood with potentials that are only fractionally realised. Space and time are transformed into unusual ...
  • Lubonski, Marcin; Gay, Valerie; Simmonds, Andrew (IEEE, 2005)
    Limitations in the contemporary best effort WAN combined with an increase in demand of the business users for multimedia are the main challenges for remote desktop solutions. Thin client remote desktop protocols are now ...
  • Zhao, Yanchang; Zhang, Chengqi; Zhang, Shichao; Zhao, Lianwei (Springer, 2006)
  • Ou, Yuming; Cao, Longbing; Zhang, Chengqi (IEEE, 2009)
    Many real-life applications often involve multiple sequences, which are coupled with each other. It is unreasonable to either study the multiple coupled sequences separately or simply merge them into one sequence, because ...
  • Liu, Xinwang; Yin, Jp; Wang, L; Liu, Lq; Liu, J; Hou, Cp; Zhang, Jian (IEEE-Inst Electrical Electronics Engineers Inc, 2013)
    Learning an optimal kernel plays a pivotal role in kernel-based methods. Recently, an approach called optimal neighborhood kernel learning (ONKL) has been proposed, showing promising classification performance. It assumes ...
  • Sandrasegaran, Kumbesan; Patachaianand, Rachod; Madani, Faisal (IEEE Coomunication Society, 2011)
    In this paper, a new feedback scheme is proposed for downlink OFDMA system with frequency domain packet scheduling to achieve multiuser diversity. Recent work showed that the multiuser diversity can be gained by using the ...