The Image and Signal Processing (ISP) group at the Universitat de València develops machine learning and vision algorithms for modeling and understanding complex systems. Our approach to signal, image, and vision processing combines statistical learning theory with the understanding of the underlying physics, processes and biological vision.
Our vision is to develop novel artificial intelligence methods to model and understand complex systems, and more specifically the visual brain, Earth and climate systems and the biosphere-anthroposphere interactions. The problems posed in these disciplines require similar mathematical tools, where model inversion, uncertainty estimation, and causal inference play a central role.
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