Deep Learning, Gaussian Process, Active Learning, Bayesian Optimization.
acquisition of several spectroscopic curves in random locations of the image. These sparse observations are used to train a DKL model. Then, a trained DKL model is used to predict a property of interest in every coordinate of the structural image (or, more specifically, for every image patch