Now showing items 1-4 of 4

    • Automatic detection of affect and cognitive load from multimodal information 

      Hussain, Mohammed Sazzad (University of Sydney Graduate School of Engineering & IT School of Electrical and Information Engineering, 2013-03-25)
      The affective and cognitive states of a computer user have significant impact on how the interaction is experienced. Therefore, understanding these aspects of human psychology is of great importance to improve the design ...
    • Discriminant Analysis Methods for Large Scale and Complex Datasets 

      Romanes, Sarah Elizabeth
      Discriminant analysis (DA) methods are effective and intuitive classifiers for correlated, Gaussian data. However, they cannot be used in high dimensional problems without modification (that is, when the number of features ...
    • FPGA Architectures for Low Precision Machine Learning 

      Moss, Duncan J.M. (University of Sydney Faculty of Engineering and IT School of Electrical and Information Engineering, 2017-12-31)
      Machine learning is fast becoming a cornerstone in many data analytic, image processing and scientific computing applications. Depending on the deployment scale, these tasks can either be performed on embedded devices, or ...
    • Grammar based feature generation for time-series prediction 

      De Silva, Anthony Mihirana (University of Sydney. Graduate School of Engineering and IT School of Electrical & Information Engineering, 2013-11-25)
      The application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of ...