Browsing by Author "Frank, Eibe"
Co-authors for Eibe Frank
Supervised by Eibe Frank
Showing up to 5 theses - most recently added to Research Commons first.
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Super-resolution of satellite imagery
(The University of Waikato, 2021)Can deep neural networks super-resolve satellite imagery to a high perceptual quality? This thesis explores the juxtaposition between the pixel accuracy and perceptual qualities of super-resolved imagery by comparing and ... -
A study of self-training variants for semi-supervised image classification
(The University of Waikato, 2021)Artificial neural networks achieve state-of-the-art performance when trained on a vast number of labelled examples. Still, they can easily overfit training examples when few labelled examples are available. The requirement ... -
High-throughput machine learning algorithms
(The University of Waikato, 2021)The field of machine learning has become strongly compute driven, such that emerging research and applications require larger amounts of specialised hardware or smarter algorithms to advance beyond the state-of-the-art. ... -
Learning discrete and Lipschitz representations
(The University of Waikato, 2019)Learning to embed data into a low dimensional vector space that is more useful for some downstream task is one of the most common problems addressed in the representation learning literature. Conventional approaches to ... -
Tree-structured multiclass probability estimators
(The University of Waikato, 2019)Nested dichotomies are used as a method of transforming a multiclass classification problem into a series of binary problems. A binary tree structure is constructed over the label space that recursively splits the set of ...