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Now showing items 1-18 of 18

  • Bayesian approaches to content-based image retrieval 

    Stefanou, Georgios Andrea (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006)
    This thesis addresses some issues in the relatively new field of Content-Based Image Retrieval. Content-based image retrieval is a technique that uses the visual content of images to aid searches from large scale image ...
  • Utilisation of electronic fare collection data of urban bus operators with regard to transfer journeys and origin / destination estimation 

    Hofmann, Markus (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2008)
    The understanding of an urban public transport network from an operational point of view and the understanding of passenger’s travel patterns become increasingly important due to the growing complexity of most networks. ...
  • Bayesian kernel classification for high dimensional data with variable selection 

    Domijan, Katarina (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)
    High dimensional data sets, where the dimension of the measurements exceeds the number of samples, arise in many application domains. In particular, the development of genomic and proteomic technologies in the last decade ...
  • Statistical models for food authenticity 

    Toher, Deirdre Ann (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)
    The authentication of food samples pose a particular problem for regulators. The routine testing of premium food products, most likely to be subject to manipulation for commercial gain, is only feasible if the testing ...
  • Fast approximate inverse Bayesian inference in non-parametric multivariate regression with application to palaeoclimate reconstruction 

    Salter-Townshend, Michael (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)
    Bayesian statistical methods often involve computationally intensive inference procedures. Sampling algorithms represent the current standard for fitting and testing models. Such methods, while flexible, are computationally ...
  • 3D object reconstruction using multiple views 

    Kim, Donghoon (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)
    3D object modelling from multiple view images has recently been of increasing interest in computer vision. Two techniques, Visual Hull and Photo Hull, have been extensively studied in the hope of developing 3D shape ...
  • Variational Bayes approximation for inverse regression problems 

    Vatsa, Richa (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)
    Inverse regression is a tool to predict an unknown explanatory variable for given observations of a response variable in a regression problem. The prediction problem is usually carried out in two stages: firstly, to fit ...
  • A new method to implement Bayesian inference on stochastic differential equation models 

    Joshi, Chaitanya (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)
    Stochastic differential equations (SDEs) are widely used to model numerous real-life phenomena. However, transition densities of most of the SDE models used in practice are not known, making both likelihood based and ...
  • Statistical framework for multi sensor fusion and 3D reconstruction 

    Ruttle, Jonathan (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)
    Multi-view 3D reconstruction is an area of computer vision where multiple images are taken of an object and information in those images is used to generate a 3D model describing the shape and size of that object. The ...
  • Fast sequential parameter inference for dynamic state space models 

    Bhattacharya, Arnab (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)
    Many problems in science require estimation and inference on systems that generate data over time. Such systems, quite common in statistical signal processing, time series analysis and econometrics, can be stated in a ...
  • MCMC for inference on phase-type and masked system lifetime models 

    Aslett, Louis J.M. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)
    Common reliability data consist of lifetimes (of censoring information) on all components and systems under examination. However, masked system lifetime data represents an important class of problems where the information ...
  • Advances in Bayesian model development and inversion in multivariate inverse inference problems : with application to palaeoclimate reconstruction 

    Sweeney, James (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)
    An extremely challenging example of a multivariate inverse inference problem is the statistical reconstruction of palaeoclimate from fossil pollen data, which represents the motivating research problem considered in this ...
  • Bayesian inference for short term traffic forecasting 

    Mai, Tiep K. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2013)
    In intelligent transport systems, short term traffic forecasting is one of the most important problems, reflecting the network state in the near future and feeding information to other application modules. Even though ...
  • L_ Inference for shape parameter estimation 

    Arellano Vidal, Claudia L. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2014)
    In this thesis, we propose a method to robustly estimate the parameters that controls the mapping of a shape (model shape) onto another (target shape). The shapes of interest are contours in the 2D space, surfaces in the ...
  • Visual attention using 2D & 3D displays 

    Zdziarski, Zbigniew (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)
    In the past three decades, robotists and computer vision scientists, inspired by psychological and neurophysiological studies, have developed many computational models of attentions (CMAs) that mimic the behaviour of the ...
  • Tracking the distribution of bugs across software release versions 

    Ó Ríordáin, Seán (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)
    Real software systems always contain bugs and the question on every release manager’s mind coming up to a release centres around how many undiscovered bugs there still remain. This work looks at one model, (Goel and ...
  • Bayesian inference for misaligned irregular time series with application to palaeoclimate reconstruction 

    Doan, Thinh K. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)
    This thesis proposes new Bayesian methods to jointly analyse misaligned irregular time series. Temporal misalignment occurs wdien multiple irregularly spaced time series are considered together, or when the time periods ...
  • Reliability updating in linear opinion pooling for multiple decision makers 

    Bolger, Donnacha (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2016)
    Accurate information sources are vital prerequisites for good decision making. In this thesis we consider a multiple participant setting, where all decision makers (DMs) have a collection of neighbours with whom they share ...