CORDIS Project
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This project focuses on developing a framework for computing nonlinear eigenvectors to enhance data analysis methods. By addressing limitations of linear eigenproblems, it aims to improve applications in machine learning, computer vision, and bioinformatics.
In machine learning and exploratory data analysis, the major goal is the developmentof solutions for the automatic and efficient extraction of knowledge from data.
Thisability is key for further progress in science and engineering. A large class ofdata analysis methods is based on linear eigenproblems.
While linear eigenproblems arewell studied, and a large part of numerical linear algebra is dedicated to the efficientcalculation of eigenvectors of all kinds of structured matrices, they are limi…
UNIVERSITAT DES SAARLANDES
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