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Regularization Algorithms for Learning

Speaker: Prof. Alessandro Verri

Date: 19/02/2010

University: Univ. of Genova

Room : A56

Time: 3:00am

Abstract: In this talk I will review some of the work we have been doing in the last few years in my group from the viewpoints of theory, algorithms, and applications. The focus of our research is on the development of algorithms which can learn effectively the solution to a given problem from a small number of examples. Regularization theory provides the tools we use to show the soundness of the proposed algorithms. Applications in the areas of computer vision, computational biology amd biomedical image analysis will also be presented.

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