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  • Ha, K; Hoang, TD; Rashid, U; Apkarian, P (IEEE, 2012-01)
    In this paper, an optimal multisensor data fusion method is proposed to estimate the state of a highly nonlinear dynamic model. Data fusion from spatially distributed sensors is expressed as a semi definite program (SDP) ...
  • Liu, B; Cao, L; Yu, P; Zhang, C (IEEE, 2008-01)
    In SVMs-based multiple classification, it is not always possible to find an appropriate kernel function to map all the classes from different distribution functions into a feature space where they are linearly separable ...
  • Xiao, Y; Liu, B; Cao, L; Wu, X; Zhang, C; Hao, Z; Yang, F; Cao, J (IEEE Computer Society Press, 2009-01)
    SVDD has been proved a powerful tool for outlier detection. However, in detecting outliers on multi-distribution data, namely there are distinctive distributions in the data, it is very challenging for SVDD to generate a ...
  • Yeh, W (Elsevier Science Bv, 2004-01)
    Many real-world systems (such as electric power, transportation, etc.) are multistate systems composed of multistate components. Such systems may be regarded as flow networks whose arcs have independent, discrete, limited ...
  • Yeh, W (Elsevier Sci Ltd, 2002-01)
    Many real-world systems (such as cellular telephones, transportation, etc.) are multistate-node acyclic network (MNAN) composed of multistate-nodes. Such network has a source node (position) where the signal source is ...
  • Yeh, W (Elsevier Sci Ltd, 2003-01)
    A multistate-node acyclic network (NNAN) is a generalization of the tree-structured multistate-node system that does not satisfy the flow conservation law. The current known existing methods used to evaluate MNAN reliability ...
  • Guo, Z; Zhao, W; Lu, H; Wang, J (Elsevier, 2012-01)
    In this paper, a modified EMD-FNN model (empirical mode decomposition (EMD) based feed-forward neural network (FNN) ensemble learning paradigm) is proposed for wind speed forecasting. The nonlinear and non-stationary ...
  • Huang, S; Kwok, N; Dissanayake, G; Ha, QP; Fang, G (The Institute of Electrical and Electronic Engineers Inc, 2005-01)
    In this paper, the possibility and necessity of multistep trajectory planning in Extended Kalman Filter (EKF) based SLAM is investigated. The objective of the trajectory planning here is to minimize the estimation error ...
  • Thomas, D; Ding, GK; Crews, KI (The University of New South Wales, 2012-01)
    There is a growing interest in the construction of medium rise residential timber buildings internationally. A number of developers in Australia are seeking to complete the first structural timber residential building over ...
  • Cao, L (IEEE Computer Soc, 2007-01)
    Trading agents are very useful for developing and back-testing quality trading strategies to support smart trading actions in the market. However, the existing trading agent research mainly focuses on simple and simulated ...
  • Yaish, H; Goyal, M (2013)
    Storing data in the cloud is a new multi-tenant database solution that has recently emerged to deliver database for multiple users, who can store and access their data over the internet. This multi-tenant database designed ...
  • Yaish, Haitham M.H.A. (2014)
    Cloud Computing is a new computing paradigm that transforms accessing computing resources from internal data centres to external service providers. This approach is rapidly becoming a standard for offering cost effective ...
  • Yaish, H; Goyal, M; Feuerlicht, G (Elsevier, 2014)
    Multi-tenant database is a new database solution which is significant for Software as a service (SaaS) and Big Data applications in the context of cloud computing paradigm. This multi-tenant database has significant design ...
  • Li, J; Allinson, N; Tao, D; Li, X (2006-11)
    Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of ...
  • Baur, DG; Fry, R (Elsevier BV, 2009-01)
    This paper proposes a multivariate test to measure the statistical and economic significance of contagion through analysis of extreme unobserved common shocks. Contagious episodes are endogenously determined with no need, ...
  • Tan, Z; Jamdagni, A; He, X; Nanda, P; Liu, RP (2011)
    The quality of feature has significant impact on the performance of detection techniques used for Denial-of-Service (DoS) attack. The features that fail to provide accurate characterization for network traffic records make ...
  • Silvennoinen, A; Terasvirta, T (Springer, 2009-01)
    This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonpararnetric and semi parametric models. Existing specification and ...
  • Sammel, M; Lin, X; Ryan, L (John Wiley and Sons Ltd, 1999-09-30)
    We propose a multivariate linear mixed (MLMM) for the analysis of multiple outcomes, which generalizes the latent variable model of Sammel and Ryan. The proposed model assumes a flexible correlation structure among the ...
  • Su, Y; Gao, X; Li, X; Tao, D (2012)
    Conventional regression methods, such as multivariate linear regression (MLR) and its extension principal component regression (PCR), deal well with the situations that the data are of the form of low-dimensional vector. ...
  • Kusakunniran, W; Wu, Q; Zhang, J; Li, H (2010)
    It has been shown that gait is an efficient biometric feature for identifying a person at a distance. However, it is a challenging problem to obtain reliable gait feature when viewing angle changes because the body appearance ...