Browsing 08 Information and Computing Sciences by Title

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Browsing 08 Information and Computing Sciences by Title

Sort by: Order: Results:

  • Tran, T; Agbinya, JI (Auerbach Publications - Taylor & Francis Group, 2011-01)
    Enabling security services such as encryption and authentication in distributed sensor networks (DSNs) requires that cryptographic pairwise keys must be established among communicating sensor nodes. The traditional approach ...
  • Du, H; Zhang, N (2009-04)
    This paper presents a new approach to design controllers for time-delay systems by using genetic algorithms (GAs) together with the solvability of linear matrix inequalities (LMIs). Both of the state-feedback controller ...
  • Zhong, Y; Zhang, H (ACCV, 2002-01)
    The common practice to get more matching points between two perspective images proceeds from coarse matching to dense matching. However, in some applications, for example, in the visualization of point-based 3D reconstruction ...
  • Johnston, AJ (Interdisciplinary Centre for Scientific Research in Music, 2012-01)
    This paper describes an ongoing project to develop an interactive dance/physical theatre work entitled Encoded. The focus is on the use of motion capture and real-time fluid simulation to create systems that we hope ...
  • Li, YF; Tsang, IW; Kwok, JT; Zhou, ZH (2013-03-06)
    In this paper, we study the problem of learning from weakly labeled data, where labels of the training examples are incomplete. This includes, for example, (i) semi-supervised learning where labels are partially known; ...
  • Li, YF; Tsang, IW; Kwok, JT; Zhou, ZH (2013-03-06)
    In this paper, we study the problem of learning from weakly labeled data, where labels of the training examples are incomplete. This includes, for example, (i) semi-supervised learning where labels are partially known; ...
  • Tan, M; Tsang, W; Wang, L; Zhang, X (AAAI Press, 2012-01-01)
    In this paper, a new convex matching pursuit scheme is proposed for tackling large-scale sparse coding and subset selection problems. In contrast with current matching pursuit algorithms such as subspace pursuit (SP), the ...
  • Schockaert, S; Li, S (IOS Press, 2012-01)
    RCC8 is one of the most widely used calculi for qualitative spatial reasoning. Although many applications have been explored where RCC8 relations refer to geographical or physical regions in two- or three-dimensional spaces, ...
  • Chaczko, ZC; Chiu, CC; Kale, AV (IEEE, 2010-01)
    This paper describes the adaptation of a computational technique utilizing Extended Kohonen Maps (EKMs) and Rao-Blackwell-Kolmogorov (R-B) Filtering mechanisms for the administration of Sensor-Actuator networks (SANETs). ...
  • Chaczko, ZC; Moses, P; Chiu, CC (Springer Berlin Heidelberg, 2009-01)
    This paper discusses a methodology to manage wireless sensor networks (WSN) with self-organising feature maps, using co-operative Extended Kohonen Maps (EKMs). EKMs have been successfully demonstrated in other machine-learning ...
  • Li, Y; Zhang, C; Zhang, S (Taylor & Francis Inc, 2003-01)
    While the Internet and World Wide Web have put a huge volume of low-quality information at the easy access of an information gathering system, filtering out irrelevant information has become a big challenge. In this paper, ...
  • Watterson, Peter; Beins, David; Noble, Matthew (2011-02-21)
    Matthew Noble, the UTS Copyright Advisor, and David Beins, UTS Executive Manager (Industry and Commercialisation) discuss Copyright, Commercialisation and Intellectual Property responsibilities for researchers at UTS. This ...
  • Lueg, CP (Institute for Media and Communications Management, University of St.Gallen, Switzerland, 2001-01)
    The importance of the Internet as an information exchange and communication medium has increased significantly over the past few years. Eriksson (1999) outlines that the daily lives of people are more and more affected by ...
  • Zhang, Y; Zhu, X; Wu, X; Bond, J (Pergamon-Elsevier Science Ltd, 2011-01)
    Learning from imperfect (noisy) information sources is a challenging and reality issue for many data mining applications. Common practices include data quality enhancement by applying data preprocessing techniques or ...
  • Liu, T; Lipnicki, DM; Zhu, W; Tao, D; Zhang, C; Cui, Y; Jin, JS; Sachdev, PS; Wen, W (2012-02-21)
    Alzheimer's disease (AD) is characterized by an insidious onset of progressive cerebral atrophy and cognitive decline. Previous research suggests that cortical folding and sulcal width are associated with cognitive function ...
  • Lu, Jie; Zhang, Guangquan (NA, 2002)
  • Lu, J; Bai, C; Zhang, G (Pergamon-Elsevier Science Ltd, 2009-01)
    This study applies Bayesian network techniques to analyze and verify the relationships among cost factors and benefit factors in e-service systems. This study first establishes a Bayesian network for e-service cost-benefit ...
  • Zhu, X; Wu, X (IEEE Computer Soc, 2005-01)
    Real-world data is noisy and can often suffer from corruptions or incomplete values that may impact the models created from the data. To build accurate predictive models, data acquisition is usually adopted to prepare the ...
  • Qin, Z; Zhang, C; Wang, T; Zhang, S (2010)
    Cost-sensitive classification is one of mainstream research topics in data mining and machine learning that induces models from data with unbalance class distributions and impacts by quantifying and tackling the unbalance. ...