CORDIS Project
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This project aims to revolutionize the modeling of similarity in data analysis, particularly in image processing and medical imaging. It seeks to develop a comprehensive framework for computational similarity geometry that goes beyond traditional metrics, enabling better handling of complex data relationships.
Similarity is one of the most fundamental notions encountered in problems practically in every branch of science, and is especially crucial in image sciences such as computer vision and pattern recognition.
The need to quantify similarity or dissimilarity of some data is central to broad categories of problems involving comparison, search, matching, alignment, or reconstruction.
The most common way to model a similarity is using metrics (distances).
Such constructions are well-studied in the fie…
UNIVERSITA DELLA SVIZZERA ITALIANA
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