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MLAI 2019 #04 - Isabelle Bloch – Knowledge representation and model-based image understanding

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Speaker: Isabelle Bloch, Professor at LTCI, Télécom Paris, Institut Polytechnique de Paris Abstract: In this talk, we will discuss the importance of knowledge and models to guide image understanding, and present a few examples. In these examples, structural information is expressed as mathematical models of spatial relations, using fuzzy sets and mathematical morphology. This knowledge is included in models such as ontologies, graphs, logical knowledge bases. Image understanding is then expressed as a spatial reasoning problem. Examples in medical imaging will illustrate these approaches. Finally, recent developments on transfer learning will be illustrated.

See others videos of the MLAI workshop on www.mlai-workshop.org

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