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Marco Loog received an M.Sc. in mathematics from Utrecht University, the Netherlands, and in 2004 a Ph.D. degree from the Image Sciences Institute for the development and improvement of contextual statistical pattern recognition methods and their use in the processing and analysis of images. After this joyful event, he moved to Copenhagen, Denmark, where he acted as assistant and, eventually, associate professor next to which he worked as a research scientist at Nordic Bioscience. In 2008, after several splendid years in Denmark, Marco moved to Delft University of Technology, the Netherlands, where he now works as an assistant professor in the Pattern Recognition Laboratory. He currently is vice-chair of Technical Committee 1 of the IAPR, holds two associate editorships, and has been an Invited CNRS Research Scientist in 2008 and 2009.
His ever-evolving research interests nowadays include multiscale image analysis, semi-supervised and multiple instance learning, saliency, computational perception, the dissimilarity approach, and black math. Marco is the inventor of a pre-auto-context auto-context-like algorithm coined iterated contextual pixel classification.
Dissimilarity-based Classification of MRIs for Early Diagnosis of Dementia
as author at Special Session,
Non-Euclidean Dissimilarities: Causes and Informativeness
as author at Sessions,