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Browsing Computer Engineering by Author "Anantharajah, K."

Browsing Computer Engineering by Author "Anantharajah, K."

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  • Local Inter-Session Variability Modelling for Object Classification 
    Anantharajah, K.; Yuan Ge, Z.; McCool, C.; Denman, S.; Fookes, C.; Corke, P.; Tjondronegoro, D.; Sridharan, S. (IEEE, 2014)
    Object classification is plagued by the issue of session variation. Session variation describes any variation that makes one instance of an object look different to another, for instance due to pose or illumination variation. ...
  • Long-term Solar Irradiance Forecasting Approaches – A Comparative Study 
    Sharika, w.; Fernando, l.; Kanagasundaram, A.; Valluvan, R.; Anantharajah, K. (IEEE, 2018)
    The need of solar irradiation forecast at a specific location over long-time horizons has attained massive importance. In this paper, we study the machine learning techniques to predict solar irradiation in 10 min intervals ...
  • Quality based Frame Selection for Face Clustering in News Video 
    Anantharajah, K.; Denman, S.; Tjondronegoro, D.; Sridharan, S.; Fookes, C.; Guo, X. (Institute of Electrical and Electronic Engineers, 2013)
    Clustering identities in a broadcast video is a useful task to aid in video annotation and retrieval. Quality based frame selection is a crucial task in video face clustering, to both improve the clustering performance and ...
  • Quality based frame selection for video face recognition 
    Anantharajah, K.; Denmon, S.; Sridharan, S.; Fookes, C.; Tjondronegoro, D. (6th International Conference on Signal Processing and Communication Systems, 2012)
    Quality based frame selection is a crucial task in video face recognition, to both improve the recognition rate and to reduce the computational cost. In this paper we present a framework that uses a variety of cues (face ...
  • Robust Automatic Face Clustering in News Video 
    Anantharajah, K.; Denman, S.; Tjondronegoro, D.; Sridharan, S.; Fookes, C. (IEEE, 2015)
    Clustering identities in a video is a useful task to aid in video search, annotation and retrieval, and cast identification. However, reliably clustering faces across multiple videos is challenging task due to variations ...