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  • Li, B; Chen, L; Zhu, X; Zhang, C (Springer, 2013-01)
    Social recommender systems largely rely on user-contributed data to infer users' preference. While this feature has enabled many interesting applications in social networking services, it also introduces unreliability to ...
  • Liu, H; Zhang, S (Elsevier Science Inc, 2012-01)
    k nearest neighbor (kNN) is an effective and powerful lazy learning algorithm, notwithstanding its easy-to-implement. However, its performance heavily relies on the quality of training data. Due to many complex real-applications, ...
  • Du, H; Lam, J; Sze, KY (Elsevier, 2003-01)
    This paper presents an approach to design static output feedback and non-fragile static output feedback H infinity controllers for active vehicle suspensions by using linear matrix inequalities and genetic algorithms. A ...
  • Gao, X; Niu, Z; Tao, D; Li, X (Elsevier BV, 2011-01)
    The broadcast soccer video is usually recorded by one main camera, which is constantly gazing somewhere of playfield where a highlight event is happening. So the camera parameters and their variety have close relationship ...
  • Guan, N; Tao, D; Luo, Z; Yuan, B (2011-08)
    In this paper, we present a non-negative patch alignment framework (NPAF) to unify popular non-negative matrix factorization (NMF) related dimension reduction algorithms. It offers a new viewpoint to better understand the ...
  • Lu, W; Zeng, K; Tao, D; Yuan, Y; Gao, X (Elsevier Science Bv, 2010-01)
    The target of no-reference (NR) image quality assessment (IQA) is to establish a computational model to predict the visual quality of an image. The existing prominent method is based on natural scene statistics (NSS). It ...
  • Zhu, ZH; Guo, Y; Zhu, X; Xue, X (Elsevier Science Bv, 2010-01)
    In this paper, we propose an iterative normalized compression method for dimensionality reduction using non-negative matrix factorization (NCMF). To factorize the instance matrix X into C x M, an objective function is ...
  • De Tré, G; De Caluwe, R; Prade, H (2008-04)
    Since in the real world, it often occurs that information is missing, database systems clearly need some facilities to deal with missing data. With respect to traditional database systems, the most commonly adopted approach ...
  • Mao, Q; Tsang, I; Gao, S (IEEE-Inst Electrical Electronics Engineers Inc, 2013-01)
    Automatic image annotation, which is usually formulated as a multi-label classification problem, is one of the major tools used to enhance the semantic understanding of web images. Many multimedia applications (e.g., ...
  • Ha, QP; Trinh, H (TAYLOR & FRANCIS LTD, 2004-10-10)
  • Moemeng, C; Wang, C; Cao, L (2012)
    We investigate an interaction mechanism between agents and data mining, and focus on agent-enhanced mining. Existing data mining tools use workflow to capture user requirements. The workflow enactment can be improved with ...
  • Neame, PJ; Philpott, AB; Pritchard, G (Inst Operations Research Management Sciences, 2003-01)
  • Cuzzocrea, A; Moussa, R; Xu, G (Springer Berlin / Heidelberg, 2013-01)
    In this paper, we investigate solutions relying on data partitioning schemes for parallel building of OLAP data cubes, suitable to novel Big Data environments, and we propose the framework OLAP*, along with the associated ...
  • Cuzzocrea, A; Moussa, R; Xu, G (Springer Berlin / Heidelberg, 2013-01)
    In this paper, we investigate solutions relying on data partitioning schemes for parallel building of OLAP data cubes, suitable to novel Big Data environments, and we propose the framework OLAP*, along with the associated ...
  • Yu, J; Liu, D; Tao, D; Seah, HS (2012-10)
    How do we retrieve cartoon characters accurately? Or how to synthesize new cartoon clips smoothly and efficiently from the cartoon library? Both questions are important for animators and cartoon enthusiasts to design and ...
  • Li, S; Ying, M; Li, Y (IOS Press, 2005-01)
    Region Connection Calculus (RCC) is the most widely studied formalism of Qualitative Spatial Reasoning. It has been known for some time that each connected regular topological space provides an RCC model. These 'standard' ...
  • Yan, X; Zhang, S; Zhang, C (2007-02)
    Systematically we study data structures used to implement the algorithms of association rule mining, including hash tree, itemset tree, and FP-tree (frequent pattern tree). Further, we present a generalized FP-tree in an ...
  • Song, Y; Zhang, J; Cao, L; Sangeux, M (Springer, 2013-01)
    `Gait' is a person's manner of walking. Patients may have an abnormal gait due to a range of physical impairment or brain damage. Clinical gait analysis (CGA) is a technique for identifying the underlying impairments that ...
  • Cornelis, C; Lu, J; Guo, X; Zhang, G (Elsevier Inc, 2007-01)
  • Zhu, X; Ding, W; Yu, P; Zhang, C (Springer, 2011-01)
    In this paper, we formulate a new research problem of concept learning and summarization for one-class data streams. The main objectives are to (1) allow users to label instance groups, instead of single instances, as ...