Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm

Dimensionality reduction (DR) and manifold learning (ManL) have been applied extensively in many machine learning tasks, including computer vision, image analysis and pattern recognition just to name a few. However, the geometrical correctness of DR and ManL models learning results is largely neglec...

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Vydané v:	Proceedings of ... International Joint Conference on Neural Networks s. 1 - 9
Hlavní autori:	Shi, Dai, Han, Andi, Guo, Yi, Gao, Junbin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 18.06.2023
Predmet:	Computational modeling Computer vision Graph neural networks Image analysis Laplace equations Manifold learning Manifolds
ISSN:	2161-4407
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