Alignment of vector fields on manifolds via contraction mappings

According to the manifold hypothesis, high-dimensional data can be viewed and meaningfully represented as a lower-dimensional manifold embedded in a higher dimensional feature space. Manifold learning is a part of machine learning where an intrinsic data representation is uncovered based on the mani...

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מידע ביבליוגרפי

Principais autores:	O.N. Kachan, Yu.A. Yanovich, E.N. Abramov
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Kazan Federal University 2018-06-01
סדרה:	Учёные записки Казанского университета: Серия Физико-математические науки
נושאים:	manifold learning dimensionality reduction numerical optimization vector field estimation
גישה מקוונת:	https://kpfu.ru/alignment-of-vector-fields-on-manifolds-via-403645.html
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!