Geodesic Learning With Uniform Interpolation on Data Manifold
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206775
Abstract: 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… read more here.
Keywords: uniform interpolation; data manifold; learning uniform; interpolation data ... See more keywords
SpectralMAP: Approximating Data Manifold With Spectral Decomposition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257427
Abstract: Dimensionality reduction is widely used to visualize complex high-dimensional data. This study presents a novel method for effective data visualization. Previous methods depend on local distance measurements for data manifold approximation. This leads to unreliable… read more here.
Keywords: data manifold; spectralmap approximating; approximating data; manifold spectral ... See more keywords