Manifold-Aligned Neighbor Embedding
Abstract
In this paper, we introduce a neighbor embedding framework for manifold alignment. We demonstrate the efficacy of the framework using a manifold-aligned version of the uniform manifold approximation and projection algorithm. We show that our algorithm can learn an aligned manifold that is visually competitive to embedding of the whole dataset.
Cite
Text
Islam and Fleischer. "Manifold-Aligned Neighbor Embedding." ICLR 2022 Workshops: GTRL, 2022.Markdown
[Islam and Fleischer. "Manifold-Aligned Neighbor Embedding." ICLR 2022 Workshops: GTRL, 2022.](https://mlanthology.org/iclrw/2022/islam2022iclrw-manifoldaligned/)BibTeX
@inproceedings{islam2022iclrw-manifoldaligned,
title = {{Manifold-Aligned Neighbor Embedding}},
author = {Islam, Mohammad Tariqul and Fleischer, Jason W.},
booktitle = {ICLR 2022 Workshops: GTRL},
year = {2022},
url = {https://mlanthology.org/iclrw/2022/islam2022iclrw-manifoldaligned/}
}