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Semi-supervised segmentation of land cover images using nonlinear
  canonical correlation analysis with multiple features and t-SNE

Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE

22 January 2024
Hong Wei
James Xiao
Yichao Zhang
Xia Hong
ArXivPDFHTML

Papers citing "Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE"

1 / 1 papers shown
Title
Understanding How Dimension Reduction Tools Work: An Empirical Approach
  to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhnik
174
306
0
08 Dec 2020
1