Web: http://arxiv.org/abs/2206.08537

June 20, 2022, 1:10 a.m. | Jonathan de Matos, Luiz Eduardo Soares de Oliveira, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich

cs.LG updates on arXiv.org arxiv.org

This paper presents a novel approach combining convolutional layers (CLs) and
large-margin metric learning for training supervised models on small datasets
for texture classification. The core of such an approach is a loss function
that computes the distances between instances of interest and support vectors.
The objective is to update the weights of CLs iteratively to learn a
representation with a large margin between classes. Each iteration results in a
large-margin discriminant model represented by support vectors based on such …

arxiv classification cv learning representation representation learning

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