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Recent Submissions

  • Automatic Discovery and Geotagging of Objects from Street View Imagery 

    Kenny, Eamonn; Krylov, Vladimir; Dahyot, Rozenn (2018)
    Many applications, such as autonomous navigation, urban planning, and asset monitoring, rely on the availability of accurate information about objects and their geolocations. In this paper, we propose the automatic detection ...
  • Irish Machine Vision and Image Processing Conference Proceedings 2018 

    Dahyot, Rozenn (Irish Pattern Recognition and Classification Society, 2018)
    With IMVIP 2018 the series of Irish Machine Vision and Image Processing conferences reaches a landmark occasion: IMVIP 2018 is the 20th edition in a series of which the inaugural meeting was held at the Magee campus of ...
  • Bayesian modelling of short fatigue crack growth and coalescence 

    Walsh, Cathal Dominic (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2000)
    Failure of metal structures is caused by cracks appearing and growing in the material until the strength of the structure is compromised. The way in which such cracks grow in metal has been researched extensively; the great ...
  • The development of theory to assist the application of destination yield management 

    Mulvey, Michael F. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2005)
    Destinations are geographical spaces where tourism experiences take place. They include the built and natural environm ent, attractions, the host community and commercial interests - predominantly SMEs. The role of ...
  • Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference 

    MCCOURT, ANGELA (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2019)
    The way in which we learn is the subject of considerable research within multiple disciplines. There is also a vast amount of on-line material available to us, causing decision-making to become increasingly difficult. ...

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