MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis.
- DOI
- 10.1109/tvcg.2026.3694000
- Published
- 2026 Jul
- Container
- IEEE transactions on visualization and computer graphics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tvcg.2026.3694000,
title = {MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis.},
author = {Huang Z and Fujiwara T and Chatzimparmpas A and Duchemin W and Kerren A},
year = {2026},
journal = {IEEE transactions on visualization and computer graphics},
doi = {10.1109/tvcg.2026.3694000},
url = {https://doi.org/10.1109/tvcg.2026.3694000}
}RIS
TY - JOUR TI - MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis. AU - Huang Z AU - Fujiwara T AU - Chatzimparmpas A AU - Duchemin W AU - Kerren A PY - 2026 JO - IEEE transactions on visualization and computer graphics DO - 10.1109/tvcg.2026.3694000 UR - https://doi.org/10.1109/tvcg.2026.3694000 ER -
APA
Z, H., T, F., A, C., W, D., & A, K. (2026). MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis.. IEEE transactions on visualization and computer graphics. https://doi.org/10.1109/tvcg.2026.3694000
Source records
- pubmed · retrieved 2026-11-10T20:04:58.547Z