Abstract: In remote sensing image classification, active learning aims to learn a good classifier as best as possible by choosing the most valuable (informative and representative) training samples.

Tension: We fear direct confrontation but also crave honesty and respect in our interactions. Noise: Conventional wisdom ...

Motivated by this, we propose a deep learning approach for passive beamforming design in RIS-assisted systems. In particular, a customized deep neural network is trained offline using the unsupervised ...