Now showing items 127-146 of 1279

  • Backup, Recovery and Archiving of Files in a Multi-Access Computing System 

    Wight, Alexander Sinclair (The University of Edinburgh, 1974)
    General-purpose multi-access computing systems with files stored on random-access devices require that these files be protected. If the total on-line storage is inadequate there is a need for wellorganized off-line ...
  • Balance-guaranteed optimized tree with reject option for live fish recognition 

    Huang, Xuan; Huang, Phoenix X. (The University of Edinburgh, 2014-11-27)
    This thesis investigates the computer vision application of live fish recognition, which is needed in application scenarios where manual annotation is too expensive, when there are too many underwater videos. This system ...
  • Batch Scheduling of Recurrent Applications for Energy Savings on Mobile Phones 

    Marina, Mahesh; Calder, Matthew (2010-05)
    Recurrent applications that mostly run in the background are a significant source of power consumption on battery-limited mobile phones. We highlight the pitfalls of scheduling such applications independently without ...
  • A Bayesian Approach to Empirical Local Linearization For Robotics 

    Ting, Jo-Anne; D'Souza, Aaron; Vijayakumar, Sethu; Schaal, Stefan (2008)
    Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics systems where the dynamics and kinematics are ...
  • The Bayesian Backfitting Relevance Vector Machine 

    D'Souza, Aaron; Vijayakumar, Sethu; Schaal, Stefan (ACM Press, 2004-07)
    Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art Bayesian algorithms which, however, ...
  • Bayesian Condition Monitoring in Neonatal Intensive Care 

    Quinn, John (2007-11-27)
    The observed physiological dynamics of an infant receiving intensive care contain a great deal of information about factors which cannot be examined directly, including the state of health of the infant and the operation ...
  • Bayesian framework for multiple acoustic source tracking 

    Zhong, Xionghu (The University of Edinburgh, 2010)
    Acoustic source (speaker) tracking in the room environment plays an important role in many speech and audio applications such as multimedia, hearing aids and hands-free speech communication and teleconferencing systems; ...
  • Bayesian Gaussian Process Models: PAC-Bayesian Generalisation Error Bounds and Sparse Approximations 

    Seeger, Matthias (University of Edinburgh. College of Science and Engineering. School of Informatics., 2003-07)
    Non-parametric models and techniques enjoy a growing popularity in the field of machine learning, and among these Bayesian inference for Gaussian process (GP) models has recently received significant attention. We feel ...
  • Bayesian Kernel Shaping for Learning Control 

    Ting, Jo-Anne; Kalakrishnan, Mrinal; Vijayakumar, Sethu; Schaal, Stefan (2008)
    In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of output noise varies spatially. Previous ...
  • Bayesian learning in undirected graphical models: approximate MCMC algorithms 

    Murray, Iain; Ghahramani, Zoubin (2004)
    Bayesian learning in undirected graphical models—computing posterior distributions over parameters and predictive quantities—is exceptionally difficult. We conjecture that for general undirected models, there are no tractable ...
  • Bayesian learning of continuous time dynamical systems with applications in functional magnetic resonance imaging 

    Murray, Lawrence (The University of Edinburgh, 2009)
    Temporal phenomena in a range of disciplines are more naturally modelled in continuous-time than coerced into a discrete-time formulation. Differential systems form the mainstay of such modelling, in fields from physics ...
  • Bayesian locally weighted online learning 

    Edakunni, Narayanan U. (The University of Edinburgh, 2010)
    Locally weighted regression is a non-parametric technique of regression that is capable of coping with non-stationarity of the input distribution. Online algorithms like Receptive FieldWeighted Regression and Locally ...
  • A Bayesian Model of Multimodal Visuo-motor Adaptation 

    Haith, Adrian; Vijayakumar, Sethu (2008)
  • Bayesian models of category acquisition and meaning development 

    Frermann, Lea (The University of Edinburgh, 2017-07-07)
    The ability to organize concepts (e.g., dog, chair) into efficient mental representations, i.e., categories (e.g., animal, furniture) is a fundamental mechanism which allows humans to perceive, organize, and adapt to ...
  • Bayesian models of syntactic category acquisition 

    Frank, Stella Christina (The University of Edinburgh, 2013-07-02)
    Discovering a word’s part of speech is an essential step in acquiring the grammar of a language. In this thesis we examine a variety of computational Bayesian models that use linguistic input available to children, in ...
  • Bayesian Multisensory Perception 

    Hospedales, Timothy (2008-06-24)
    A key goal for humans and artificial intelligence systems is to develop an accurate and unified picture of the outside world based on the data from any sense(s) that may be available. The availability of multiple senses ...
  • Bayesian nonparametric models for name disambiguation and supervised learning 

    Dai, Andrew Mingbo (The University of Edinburgh, 2013-07-02)
    This thesis presents new Bayesian nonparametric models and approaches for their development, for the problems of name disambiguation and supervised learning. Bayesian nonparametric methods form an increasingly popular ...
  • The Beetle and BeeDiff Tutoring Systems 

    Callaway, Charles; Dzikovska, Myroslava; Farrow, Elaine; Marques-Pita, Manuel; Matheson, Colin; Moore, Johanna D. (2007)
    We describe two tutorial dialogue systems that adapt techniques from task-oriented dialogue systems to tutorial dialogue. Both systems employ the same reusable deep natural language understanding and generation components ...
  • Behaviour Based Simulated Low-Cost Multi-Robot Exploration 

    Vazquez Diosdado, Jose Manuel (University of Edinburgh. College of Science and Engineering. School of Informatics., 2006-12)
    The use of multiple robots for exploration holds the promise of improved performance over single robot systems. To exploit effectively the advantage of having several robots, the robots must be co-ordinated which requires ...
  • Behaviour Generation in Humanoids by Learning Potential-based Policies from Constrained Motion 

    Howard, Matthew; Klanke, Stefan; Gienger, Michael; Goerick, Christian; Vijayakumar, Sethu (Taylor and Francis, 2008-12)
    Movement generation that is consistent with observed or demonstrated behaviour is an efficient way to seed movement planning in complex, high-dimensionalmovement systems like humanoid robots.We present a method for learning ...