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Coarse Graining of Data via Inhomogeneous Diffusion Condensation
v1v2v3 (latest)

Coarse Graining of Data via Inhomogeneous Diffusion Condensation

10 July 2019
Nathan Brugnone
Alex Gonopolskiy
Mark W. Moyle
Manik Kuchroo
David van Dijk
Kevin R. Moon
Daniel A. Colón-Ramos
Guy Wolf
M. Hirn
Smita Krishnaswamy
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Coarse Graining of Data via Inhomogeneous Diffusion Condensation"

7 / 7 papers shown
Unsupervised Segmentation of Colonoscopy Images
Unsupervised Segmentation of Colonoscopy Images
Heming Yao
Jérôme Lüscher
Benjamín Gutiérrez-Becker
Josep Arús-Pous
Tommaso Biancalani
A. Bigorgne
David Richmond
MedIm
316
1
0
19 Dec 2023
Persistent Homology for High-dimensional Data Based on Spectral Methods
Persistent Homology for High-dimensional Data Based on Spectral MethodsNeural Information Processing Systems (NeurIPS), 2023
Sebastian Damrich
Philipp Berens
D. Kobak
380
7
0
06 Nov 2023
CUTS: A Deep Learning and Topological Framework for Multigranular
  Unsupervised Medical Image Segmentation
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Chen Liu
Matthew Amodio
Liangbo L. Shen
Feng Gao
A. Avesta
Snegha A
Jay C. Wang
L. V. Priore
Smita Krishnaswamy
OODMedIm
497
24
0
23 Sep 2022
Taxonomy of Benchmarks in Graph Representation Learning
Taxonomy of Benchmarks in Graph Representation LearningLOG IN (LOG IN), 2022
Renming Liu
Semih Cantürk
Frederik Wenkel
Sarah McGuire
Devin Kreuzer
...
Michael Perlmutter
Bastian Rieck
M. Hirn
Guy Wolf
Ladislav Rampášek
OOD
312
16
0
15 Jun 2022
Time-inhomogeneous diffusion geometry and topology
Time-inhomogeneous diffusion geometry and topologySIAM Journal on Mathematics of Data Science (SIMODS), 2022
G. Huguet
Alexander Tong
Bastian Rieck
Je-chun Huang
Manik Kuchroo
M. Hirn
Guy Wolf
Smita Krishnaswamy
AI4CE
282
5
0
28 Mar 2022
Learning shared neural manifolds from multi-subject FMRI data
Learning shared neural manifolds from multi-subject FMRI dataInternational Workshop on Machine Learning for Signal Processing (MLSP), 2021
Je-chun Huang
E. L. Busch
Tom Wallenstein
Michał Gerasimiuk
Andrew Benz
Guillaume Lajoie
Guy Wolf
Nicholas B. Turk-Browne
Smita Krishnaswamy
155
22
0
22 Dec 2021
HUMAP: Hierarchical Uniform Manifold Approximation and Projection
HUMAP: Hierarchical Uniform Manifold Approximation and ProjectionIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Wilson E. Marcílio-Jr
D. M. Eler
F. Paulovich
Rafael M. Martins
442
13
0
14 Jun 2021
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