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  • Ariffin, SA; Dyson, LE; Hoskins-McKenzie, D (IBIMA (International Business Information Management Association), 2012-01)
    Content is the most prominent aspect of the medium for communication. The trends of the content nowadays, especially in Malaysia, have shown the lack of local content in, for example, television, radio, films, the Internet ...
  • De Liddo, A; Sandor, A; Buckingham Shum, S (Springer Netherlands, 2012-01)
    We propose the concept of Contested Collective Intelligence (CCI) as a distinctive subset of the broader Collective Intelligence design space. CCI is relevant to the many organizational contexts in which it is important ...
  • Geng, X; Smith-Miles, K; Wang, L; Li, M; Wu, Q (Elsevier, 2010-01)
    Most work on multi-biometric fusion is based on static fusion rules. One prominent limitation of static fusion is that it cannot respond to the changes of the environment or the individual users. This paper proposes ...
  • Qu, Z; Wang, J; Xu, M; Lu, H (IEEE-Inst Electrical Electronics Engineers Inc, 2013-01)
    Video retargeting is a crowded but challenging research area. In order to maximally comfort the viewers' watching experience, the most challenging issue is how to retain the spatial shape of important objects while ensure ...
  • Chang, L; Yu, JX; Qin, L (Science China Press, 2010-01)
    Ranking is a main research issue in IR-styled keyword search over a set of documents. In this paper, we study a new keyword search problem, called context-sensitive document ranking, which is to rank documents with an ...
  • Sheridan, P; Thornton, BS (Elsevier Science Bv, 2012-01)
    Gabor wavelets are well established as being useful for modeling neuronal response properties of the primary visual cortex. However, current Gabor models do not account for long-range contextual modulation. This paper ...
  • Cheema, MA; Zhang, W; Lin, X; Zhang, Y; Li, X (Springer, 2012-01)
    In this paper, we study the problem of continuous monitoring of reverse k nearest neighbors queries in Euclidean space as well as in spatial networks. Existing techniques are sensitive toward objects and queries movement. ...
  • 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 ...
  • 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; ...
  • Li, Yuefeng; Zhang, Chengqi; Zhang, Shichao (Taylor & Francis Inc, 2003)
    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, ...
  • 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, 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 ...
  • Wang, T; Qin, Z; Zhang, S; Zhang, C (2012-07)
    It is an actual and challenging issue to learn cost-sensitive models from those datasets that are with few labeled data and plentiful unlabeled data, because some time labeled data are very difficult, time consuming and/or ...
  • Qin, Z; Wang, T; Zhang, C; Zhang, S (Springer, 2013-01)
    Cost-sensitive learning algorithms are typically motivated by imbalance data in clinical diagnosis that contains skewed class distribution. While other popular classification methods have been improved against imbalance ...
  • Cao, L; Ou, Y; Yu, P (IEEE Computer Soc, 2012-01)
    Coupled behaviors refer to the activities of one to many actors who are associated with each other in terms of certain relationships. With increasing network and community-based events and applications, such as group-based ...