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Pelt brings theory and practice together in field of Deep Learning
Bringing the theoretical world of mathematics and computer science to more applied research areas. That is what Daniël Pelt, associate professor at the Leiden Institute of Advanced Computer Science (LIACS) is trying to achieve with the methods he is developing as a solution to challenges in image processing.
Failing methods
During his PhD research at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, he focused on tomography: making a three-dimensional image of the internal structure of an object. This technique is used in the medical world, for example in CT scans. In his research, Pelt found that the methods used in tomography often work less well in practice than in theory. ‘Methods that at the time were widely used, were often not accurate enough for advanced applications,’ he says. ‘But more accurate methods were often much too slow to use in practice. In this way, I was triggered to find