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Persistence Images: A Stable Vector Representation of Persistent
  Homology

Persistence Images: A Stable Vector Representation of Persistent Homology

22 July 2015
Henry Adams
Sofya Chepushtanova
Tegan H. Emerson
Eric M. Hanson
Michael Kirby
Francis C. Motta
R. Neville
C. Peterson
Patrick D. Shipman
Lori Ziegelmeier
ArXivPDFHTML

Papers citing "Persistence Images: A Stable Vector Representation of Persistent Homology"

32 / 82 papers shown
Title
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for
  COVID-19 Detection in Chest X-Ray Images
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images
Mustafa Hajij
Ghada Zamzmi
F. Batayneh
27
21
0
21 Jan 2021
Event History and Topological Data Analysis
Event History and Topological Data Analysis
K. Garside
Aida Gjoka
R. Henderson
Hollie Johnson
I. Makarenko
29
7
0
16 Dec 2020
Topological Echoes of Primordial Physics in the Universe at Large Scales
Topological Echoes of Primordial Physics in the Universe at Large Scales
A. Cole
M. Biagetti
G. Shiu
16
2
0
07 Dec 2020
Can neural networks learn persistent homology features?
Can neural networks learn persistent homology features?
Guido Montúfar
N. Otter
Yuguang Wang
23
12
0
30 Nov 2020
A Sheaf and Topology Approach to Generating Local Branch Numbers in
  Digital Images
A Sheaf and Topology Approach to Generating Local Branch Numbers in Digital Images
Chuan-Shen Hu
Yu-Min Chung
13
0
0
27 Nov 2020
Image analysis for Alzheimer's disease prediction: Embracing
  pathological hallmarks for model architecture design
Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design
Sarah C. Brüningk
Felix Hensel
C. Jutzeler
Bastian Alexander Rieck
21
4
0
12 Nov 2020
Topological Regularization via Persistence-Sensitive Optimization
Topological Regularization via Persistence-Sensitive Optimization
Arnur Nigmetov
Aditi S. Krishnapriyan
Nicole F. Sanderson
Dmitriy Morozov
AAML
30
6
0
10 Nov 2020
Capturing Dynamics of Time-Varying Data via Topology
Capturing Dynamics of Time-Varying Data via Topology
Lu Xian
Henry Adams
C. Topaz
Lori Ziegelmeier
17
29
0
07 Oct 2020
Robust Persistence Diagrams using Reproducing Kernels
Robust Persistence Diagrams using Reproducing Kernels
Siddharth Vishwanath
Kenji Fukumizu
S. Kuriki
Bharath K. Sriperumbudur
23
7
0
17 Jun 2020
Cubical Ripser: Software for computing persistent homology of image and
  volume data
Cubical Ripser: Software for computing persistent homology of image and volume data
S. Kaji
Takeki Sudo
K. Ahara
14
37
0
23 May 2020
Topological Descriptors Help Predict Guest Adsorption in Nanoporous
  Materials
Topological Descriptors Help Predict Guest Adsorption in Nanoporous Materials
Aditi S. Krishnapriyan
Maciej Haranczyk
Dmitriy Morozov
OOD
11
45
0
16 Jan 2020
Adaptive template systems: Data-driven feature selection for learning
  with persistence diagrams
Adaptive template systems: Data-driven feature selection for learning with persistence diagrams
Luis Polanco
Jose A. Perea
16
12
0
13 Oct 2019
Persistence B-Spline Grids: Stable Vector Representation of Persistence
  Diagrams Based on Data Fitting
Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data Fitting
Zhetong Dong
Hongwei Lin
Chi Zhou
16
4
0
17 Sep 2019
A persistent homology approach to heart rate variability analysis with
  an application to sleep-wake classification
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification
Yu-Min Chung
Chuan-Shen Hu
Y. Lo
Hau‐Tieng Wu
32
51
0
09 Aug 2019
Progressive Wasserstein Barycenters of Persistence Diagrams
Progressive Wasserstein Barycenters of Persistence Diagrams
Jules Vidal
J. Budin
Julien Tierny
13
39
0
10 Jul 2019
PI-Net: A Deep Learning Approach to Extract Topological Persistence
  Images
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
Anirudh Som
Hongjun Choi
Karthikeyan N. Ramamurthy
M. Buman
Pavan Turaga
3DH
29
29
0
05 Jun 2019
Graph Filtration Learning
Graph Filtration Learning
Christoph Hofer
Florian Graf
Bastian Alexander Rieck
Marc Niethammer
Roland Kwitt
22
96
0
27 May 2019
Towards a topological-geometrical theory of group equivariant
  non-expansive operators for data analysis and machine learning
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
M. Bergomi
Patrizio Frosini
D. Giorgi
Nicola Quercioli
AI4CE
27
48
0
31 Dec 2018
Persistence Bag-of-Words for Topological Data Analysis
Persistence Bag-of-Words for Topological Data Analysis
Bartosz Zieliñski
Michal Lipinski
M. Juda
Matthias Zeppelzauer
Paweł Dłotko
22
22
0
21 Dec 2018
The persistence landscape and some of its properties
The persistence landscape and some of its properties
Peter Bubenik
25
62
0
11 Oct 2018
A Kernel for Multi-Parameter Persistent Homology
A Kernel for Multi-Parameter Persistent Homology
René Corbet
Ulderico Fugacci
Michael Kerber
C. Landi
Bei Wang
13
49
0
26 Sep 2018
A Topological Regularizer for Classifiers via Persistent Homology
A Topological Regularizer for Classifiers via Persistent Homology
Chao Chen
Xiuyan Ni
Qinxun Bai
Yusu Wang
11
112
0
27 Jun 2018
On the Metric Distortion of Embedding Persistence Diagrams into
  separable Hilbert spaces
On the Metric Distortion of Embedding Persistence Diagrams into separable Hilbert spaces
Mathieu Carrière
Ulrich Bauer
19
28
0
19 Jun 2018
Large Scale computation of Means and Clusters for Persistence Diagrams
  using Optimal Transport
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
Théo Lacombe
Marco Cuturi
S. Oudot
19
70
0
22 May 2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence
  Diagrams
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
Tam Le
M. Yamada
30
78
0
10 Feb 2018
Supervised Learning with Indefinite Topological Kernels
Supervised Learning with Indefinite Topological Kernels
T. Padellini
P. Brutti
35
6
0
20 Sep 2017
Kernel method for persistence diagrams via kernel embedding and weight
  factor
Kernel method for persistence diagrams via kernel embedding and weight factor
G. Kusano
Kenji Fukumizu
Y. Hiraoka
17
83
0
12 Jun 2017
Sliced Wasserstein Kernel for Persistence Diagrams
Sliced Wasserstein Kernel for Persistence Diagrams
Mathieu Carrière
Marco Cuturi
S. Oudot
29
238
0
11 Jun 2017
Sparse-TDA: Sparse Realization of Topological Data Analysis for
  Multi-Way Classification
Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification
W. Guo
Krithika Manohar
Steven L. Brunton
A. Banerjee
35
32
0
12 Jan 2017
Minimax Rate-Optimal Estimation of Divergences between Discrete
  Distributions
Minimax Rate-Optimal Estimation of Divergences between Discrete Distributions
Rushil Anirudh
Jiantao Jiao
Pavan Turaga
19
42
0
30 May 2016
A persistence landscapes toolbox for topological statistics
A persistence landscapes toolbox for topological statistics
Peter Bubenik
Paweł Dłotko
68
158
0
31 Dec 2014
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
114
846
0
27 Jul 2012
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