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  • Liu, T (2015-07-24)
    Given several tasks, multi-task learning (MTL) learns multiple tasks jointly by exploring the interdependence between them. The basic assumption in MTL is that those tasks are indeed related. Existing MTL methods model the ...
  • 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 ...
  • Oduro, SD; Metia, S; Duc, H; Hong, G; Ha, QP (2015-12)
  • Rutlidge, Helen (2011)
    The majority of the methods that have been used for the analysis of hyperspectral images have focussed on classification of spectra within an image, and there have been few examples of using whole hyperspectral images (one ...
  • 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 ...
  • Liu, W; Tao, D; Cheng, J; Tang, Y (2014-01)
    Sparse coding represents a signal sparsely by using an overcomplete dictionary, and obtains promising performance in practical computer vision applications, especially for signal restoration tasks such as image denoising ...
  • Liu, W; Tao, D (2013-07)
    The rapid development of computer hardware and Internet technology makes large scale data dependent models computationally tractable, and opens a bright avenue for annotating images through innovative machine learning ...
  • Shen, H; Tao, D; Ma, D (2013)
    Content-based medical image retrieval continues to gain attention for its potential to assist radiological image interpretation and decision making. Many approaches have been proposed to improve the performance of medical ...
  • Zheng, S; Xie, B; Huang, K; Tao, D (Springer-Verlag Berlin / Heidelberg, 2011-01)
    Pedestrian tracking in multi-camera is an important task in intelligent visual surveillance system, but it suffers from the problem of large appearance variations of the same person under different cameras. Inspired by the ...
  • Xia, T; Tao, D; Mei, T; Zhang, Y (2010-12)
    In computer vision and multimedia search, it is common to use multiple features from different views to represent an object. For example, to well characterize a natural scene image, it is essential to find a set of visual ...
  • Luo, Y; Tao, D; Xu, C; Liu, H; Wen, Y (2013-05)
    In computer vision, image datasets used for classification are naturally associated with multiple labels and comprised of multiple views, because each image may contain several objects (e.g., pedestrian, bicycle, and tree) ...
  • Choi, JD (Routledge Journals, Taylor & Francis Ltd, 2012-01)
    I interrogate my personal diaries documenting my life in New York, Beijing, Tokyo, and Sydney over a 20-year period. Taking bearings from Bakhtinian thoughts, I explore the emergence of my post-diasporic identity as a ...