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cs.CV2020
A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning
Preeti Jagdish Sajjan, Frank G. Glavin
Machine Learning (ML) techniques for image classification routinely require many labelled images for training the model and while testing, we ought to use images belonging to the s…
cs.CV2018
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data
Frank G. Glavin, Michael G. Madden
Multi-class classification algorithms are very widely used, but we argue that they are not always ideal from a theoretical perspective, because they assume all classes are characte…