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Regular version of the site

Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Oleg Kachan
Vector Fields Alignment on Manifolds via Contraction Mappings
Data Science
(Master’s programme)
2017
Manifold learning is a class of machine learning algorithms for uncovering intrinsic data representation based on manifold hypothesis that high-dimensional data can be viewed and meaningfully represented as lower-dimensional manifold embedded in higher dimensional feature space.

In this work, we come up with an iterative solution of tangent spaces alignment problem in Grassmann-Stiefel Eigenmaps manifold learning algorithm.

As a result, we have a tangible gain in algorithm efficiency and time complexity.

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