This paper introduces the use of single-layer and deep convolutional networks for remote sensing data analysis. Direct application to multi- and hyperspectral imagery of supervised (shallow or deep) ...

Metric learning is an important problem in machine learning. It aims to group similar observations together. Existing state-of-the-art metric learning approaches require class labels to induce a ...

Abstract Unsupervised pretraining in biological neural networks Representation learning in neural networks may be implemented with supervised or unsupervised algorithms, distinguished by the ...