Two Gromov-Wasserstein optimal transport strategies, Mean-GWMDS and Multi-GWMDS, are introduced for structure-preserving multi-view embeddings.
Sun, A survey of multi-view machine learning, Neural Computing and Applications 23 (7) (2013) 2031–2038
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
stat.ML 1years
2026 1verdicts
UNVERDICTED 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
Structure-Preserving Multi-View Embedding Using Gromov-Wasserstein Optimal Transport
Two Gromov-Wasserstein optimal transport strategies, Mean-GWMDS and Multi-GWMDS, are introduced for structure-preserving multi-view embeddings.