Geodesic Learning With Uniform Interpolation on Data Manifold

Recently with the development of deep learning on data representation and generation, how to sampling on a data manifold becomes a crucial problem for research. In this paper, we propose a method to learn a minimizing geodesic within a data manifold. Along the learned geodesic, our method is able to...

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Detaylı Bibliyografya
Asıl Yazarlar: Cong Geng, Jia Wang, Li Chen, Zhiyong Gao
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: IEEE 2022-01-01
Seri Bilgileri:IEEE Access
Konular:
Online Erişim:https://ieeexplore.ieee.org/document/9893107/