Browsing by Subject "Metric Learning"
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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 ...