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Data-Driven Tree Transforms and Metrics

Data-Driven Tree Transforms and Metrics

18 August 2017
Zhengchao Wan
Ronen Talmon
Israel Cohen
Ronald R. Coifman
Y. Kluger
ArXiv (abs)PDFHTML

Papers citing "Data-Driven Tree Transforms and Metrics"

8 / 8 papers shown
Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Ya-Wei Eileen Lin
Ronald R. Coifman
Zhengchao Wan
Ronen Talmon
195
3
0
28 Oct 2024
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs
  across States
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
Noga Mudrik
Zhengchao Wan
Adam S. Charles
58
3
0
07 Jun 2023
Hyperbolic Diffusion Embedding and Distance for Hierarchical
  Representation Learning
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
Ya-Wei Eileen Lin
Ronald R. Coifman
Zhengchao Wan
Ronen Talmon
100
16
0
30 May 2023
Manifold learning with arbitrary norms
Manifold learning with arbitrary norms
Joe Kileel
Amit Moscovich
Nathan Zelesko
A. Singer
104
27
0
28 Dec 2020
Multi-way Graph Signal Processing on Tensors: Integrative analysis of
  irregular geometries
Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries
Jay S. Stanley III
Eric C. Chi
Zhengchao Wan
59
24
0
30 Jun 2020
Co-manifold learning with missing data
Co-manifold learning with missing data
Zhengchao Wan
Eric C. Chi
Ronald R. Coifman
54
14
0
16 Oct 2018
Recovering Trees with Convex Clustering
Recovering Trees with Convex Clustering
Eric C. Chi
Stefan Steinerberger
51
30
0
28 Jun 2018
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
G. Linderman
M. Rachh
J. Hoskins
Stefan Steinerberger
Y. Kluger
92
438
0
25 Dec 2017
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