ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2410.21107
  4. Cited By
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy

Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy

28 October 2024
Y. Lin
Ronald R. Coifman
Gal Mishne
Ronen Talmon
ArXivPDFHTML

Papers citing "Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy"

1 / 1 papers shown
Title
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès
Simon Weber
Y. Lin
Ronen Talmon
Daniel Cremers
M. Lindenbaum
A. Bruckstein
Ron Kimmel
32
0
0
23 Mar 2025
1