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Paper Citation Record · LEDGER
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69 of 69 outbound references displayed
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Observation 9c662f31-0e08-4d29-a66b-34fb91e9bcfa · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Persistence images: A stable vector representation of persistent homology.Journal of Machine Learning Research, 18, 2017
Reference 1
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Observation 2f1f6636-8748-4dfd-a51f-3695bb471d13 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Persistent homology for breast tumor classification using mammogram scans.Mathematics, 10(21):4039, 2022
Reference 2
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Observation 2c028c6c-057b-4fea-a40b-4e43d4d9325d · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams On the stability of persistent entropy and new summary functions for topological data analysis.Pattern Recognition, 107:107509, 2020
Reference 3
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Observation 2023c35c-15bb-426d-b0e2-cd7586f1f37a · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The hausdorff metric and convergence in measure.Michigan Mathematical Journal, 20(4):63–64, 1974
Reference 4
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Observation e96a149c-fd6a-42f8-998d-d4ea8ca1ec99 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Springer Science & Business Media, 2007
Reference 5
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Observation 47e54035-dff4-42ef-a203-13fac883e16c · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Random forests.Machine Learning, 45:5–32, 2001
Reference 6
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Observation 6116c618-2174-4cb0-a97c-f6f77ec9bd66 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Unresolved cited work
Reference 7
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Observation e161c05d-0244-4e47-980c-1ee9ce601fbf · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The persistence landscape and some of its properties.Topological Data Analysis, 2020
Reference 8
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Observation c9b1a625-5914-4221-b5ef-e9093e571d2b · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams A persistence landscapes toolbox for topological statistics.Journal of Symbolic Computation, 78:91–114, 2017
Reference 9
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Observation 3a3eabc3-5ea7-4cbe-a602-039115903191 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams A dendrite method for cluster analysis.Communications in Statistics-theory and Methods, 3(1):1–27, 1974
Reference 10
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Observation ddf9159c-46c9-4e5f-b68c-e1622c28f30f · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Approximating persistent homology for large datasets.arXiv preprint arXiv:2204.09155, 2022
Reference 11
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Observation 424ba5ff-fcf1-4345-82d3-dfae950382ce · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Perslay: A neural network layer for persistence diagrams and new graph topological signatures.International Conference on Artificial Intelligence and Statistics, 2020
Reference 12
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Observation 96ed64ad-2dbe-4342-bf66-9bd81493f972 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Sliced wasserstein kernel for persistence diagrams
Reference 13
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Observation 8346528f-f638-4bca-8abf-a3596151d091 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Unresolved cited work
Reference 14
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Observation 24bd7891-c789-46ad-bbd6-7786bfc00306 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Pointnet: Deep learning on point sets for 3d classification and segmentation.IEEE Conference on Computer Vision and Pattern Recognition, 2017
Reference 15
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Observation 5f0c2a19-239f-468f-9e60-38f43265f3b4 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The density of expected persistence diagrams and its kernel based estimation
Reference 16
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Observation b932a02d-e68c-47b4-b33b-300ad4041420 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Subsampling methods for persistent homology.International Conference on Machine Learning, 2015
Reference 17
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Observation cd102659-5400-4e89-a451-44dfe333c744 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Stochas- tic convergence of persistence landscapes and silhouettes
Reference 18
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Observation 8f7c7ea1-af9a-4af2-8120-a60dc00fd17a · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams An introduction to topological data analysis: Fundamental and practical aspects for data scientists.Frontiers in Artificial Intelligence, 4:667963, 2021
Reference 19
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Observation 35995050-96c0-4d36-934f-a5e6de2c2c10 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Persistence paths and signature features in topological data analysis.IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1):192–202, 2018
Reference 20
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Observation 2088ec98-e5e5-4c0d-8ceb-7bc0a390a359 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams An entropy-based persistence barcode.Pattern Recognition, 48(2):391–401, 2015
Reference 21
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Observation 63db8a97-8a8e-42a5-8621-e0c656d65b5d · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Persistence curves: A canonical framework for summarizing persis- tence diagrams.Advances in Computational Mathematics, 48(1):6, 2022
Reference 22
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Observation 4e6497be-492c-4309-8501-18a0d142fae7 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The ucr time series archive.IEEE/CAA Journal of Automatica Sinica, 6(6):1293–1305, 2019
Reference 23
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Observation a351068c-dc40-4db6-96e0-be1d96425652 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Comparing persistence diagrams through complex vectors
Reference 24
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Observation 94eb8707-70be-4cd9-875f-47c8f64bdd77 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Estimation and quantization of expected persistence diagrams.Interna- tional Conference On Machine Learning, 2021
Reference 25
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Observation 3772a303-e0b7-4d33-ab22-d1bdb6094d0b · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Persistence b-spline grids: stable vector representation of persistence diagrams based on data fitting.Machine Learning, 113(3):1373–1420, 2024
Reference 26
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Observation f71e32fe-d58d-4fcb-b43d-a792e3fed15b · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Edelsbrunner, D
Reference 27
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Observation 769ee20f-e132-4ccf-ac21-a9bfad8b1110 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The union of balls and its dual shape
Reference 28
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Observation 3adfa961-f211-43c9-bc58-647fa60ab3b6 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Representing size functions by complex polynomials.Proc
Reference 29
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Observation 6588c24a-714b-443e-8861-20c88af87307 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The optimal partial transport problem.Archive for Rational Mechanics and Analysis, 195(2):533–560, 2010
Reference 30
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Observation f21d2f7c-89ec-4765-844c-258c30d42631 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Scope: Structural classification of pro- teins—extended, integrating scop and astral data and classification of new structures.Nucleic Acids Research, 42(D1):D304–D309, 2014
Reference 31
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Observation d68e20e2-9b08-4801-b6c7-ac9e4956bc28 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams On the vietoris-rips complexes and a cohomology theory for metric spaces
Reference 32
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Observation aa82196a-73b3-4141-a03d-4d2df8887840 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Graph filtration learning.International Conference on Machine Learning, 2020
Reference 33
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Observation a566cfe7-e42d-43b1-956b-19a6a2055310 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Deep learning with topological signatures.Advances in Neural Information Processing Systems, 2017
Reference 34
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Observation ffcdd1d2-bdcc-4f7b-ae90-17a4b03984f6 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Hofer, Roland Kwitt, and Marc Niethammer
Reference 35
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Observation af5a981e-1579-4bd3-a065-b93b052506be · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Topological graph neural networks.International Conference on Learning Representations, 2021
Reference 36
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Observation 89901824-d405-40db-95e5-e5715e5fa9b3 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Tropical coordinates on the space of persistence barcodes.Foundations of Computational Mathematics, 19(1):101–129, 2019
Reference 37
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Observation 54bb7b29-5c78-4564-b9b2-1138bd35dde0 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams A large-scale annotated mechanical components benchmark for classification and retrieval tasks with deep neural networks
Reference 38
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Observation 08bf6bff-3ea5-4351-b0a2-49e99c0d0406 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Kernel method for persistence diagrams via kernel embedding and weight factor.Journal of Machine Learning Research, 18(1):6947–6987, 2017
Reference 39
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Observation 2cfde702-3254-4e64-a4a1-56d64a323b12 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Persistence weighted gaussian kernel for topological data analysis.International Conference on Machine Learning, 2016
Reference 40
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Observation fba5705a-8ff7-4299-84b2-a336e0e936a5 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Persistence fisher kernel: A riemannian manifold kernel for persistence diagrams.Advances in Neural Information Processing Systems, 2018
Reference 41
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Observation ae7a0369-82fe-46aa-a119-b5db9affc575 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Quantifying similarity of pore-geometry in nanoporous materials.Nature Communications, 8(1):1–8, 2017
Reference 42
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Observation 76ec8230-d156-4464-bb4c-04a39cc9f2e5 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams On the dynamics of discrete food chains: Low-and high-frequency behavior and optimality of chaos.Journal of Mathematical Biology, 45(5):396–418, 2002
Reference 43
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Observation b321b979-4458-4211-8bcd-6cccce803403 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Dowker complex based machine learning (dcml) models for protein-ligand binding affinity prediction.PLOS Computational Biology, 18(4):1 – 17, 2022
Reference 44
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Observation e64134ea-cc9c-4e10-a9d2-e73b9692b2db · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Weighted persistent homology for biomolecular data analysis.Scientific Reports, 10(1):1–15, 2020
Reference 45
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Observation 79882fc3-0cef-429b-9301-2cef02f2e976 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Adaptive topological feature via persistent homology: filtration learning for point clouds.Advances in Neural Information Processing Systems, 2024
Reference 46
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Observation a68f5e22-35e7-43b0-b92c-ac58983337d2 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Approximating continuous functions on persistence diagrams using template functions.Foundations of Computational Mathematics, 23(4):1215– 1272, 2023
Reference 47
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Observation 6e13046e-0752-4d21-9f41-18e6e5261e17 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Unresolved cited work
Reference 48
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Observation e45b6920-06e7-449c-a367-810a3a512f5a · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The geometric stability of voronoi diagrams with respect to small changes of the sites
Reference 49
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Observation e8c84cda-7d05-4318-a06d-80a6dda6f14b · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams A stable multi-scale kernel for topological machine learning.IEEE Conference on Computer Vision and Pattern Recognition, 2015
Reference 50
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Observation a465b13c-2778-40bf-9843-bd0cfc506d37 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Gaussian mixture models.Encyclopedia of biometrics, 741(659-663), 2009
Reference 51
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Observation b1614785-7f04-4b52-ae68-a886baee448a · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Atol: measure vectoriza- tion for automatic topologically-oriented learning
Reference 52
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Observation 545f11a4-b6ad-4f94-b6d1-d84f82c717cd · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Characterisation of the idiotypic immune network through persistent entropy.European Conference on Complex Systems, 2016
Reference 53
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Observation b3a59375-b361-4058-8a90-8afbced9fa9d · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Simplicial complexes and complex systems
Reference 54
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Observation 257bc85e-a7ce-4e5a-8cfa-646ae29b5d33 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams On time-series topological data analysis: New data and opportunities.IEEE Conference on Computer Vision and Pattern Recognition workshops, 2016
Reference 55
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Observation d0d3f5e3-49d6-400b-82a2-70136aea043d · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Support vector machine.Machine learning models and algorithms for big data classification: thinking with examples for effective learning, pages 207–235, 2016
Reference 56
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Observation 017f63de-d0c2-44b0-9656-4b1bacc179ab · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Representation of molecular structures with persistent homology for machine learning applications in chemistry.Nature Communications, 11(1):1–9, 2020
Reference 57
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Observation 573270ec-5069-4ef5-86a4-28a03ad0164c · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Visualizing data using t-sne.Journal of Machine Learning Research, 9(11), 2008
Reference 58
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Observation 917e9239-4f76-4996-a676-088f55162682 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Attention is all you need.Advances in Neural Information Processing Systems, 2017
Reference 59
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Observation 0774ba99-6274-4be4-8c7a-67f973b49cc7 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The wasserstein distances.Optimal transport: old and new, pages 93–111, 2009
Reference 60
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Observation 89a9b73d-dc17-42e0-b56d-ad71a4b1490e · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Multiset Transformer: Advancing Representation Learning in Persistence Diagrams
Reference 61
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Observation 5bda0f50-f69e-40f9-b4e9-bc81c82858a9 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Topological data analysis.Annual Review of Statistics and Its Application, 5:501–532, 2018
Reference 62
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Observation bb4b6d89-8955-4f67-a29c-e4a66653c8bd · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams On the estimation of persistence intensity functions and linear representations of persistence diagrams.International Conference on Artificial Intelligence and Statistics, 2024
Reference 63
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Observation c07a91d5-469f-45e3-8a09-30273cd0f268 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Multiscale persistent functions for biomolecular structure characteri- zation.Bulletin of mathematical biology, 80:1–31, 2018
Reference 64
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Observation b842ff72-454a-4ad8-8663-d5d8287c0231 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Multidimensional persistence in biomolecular data.Journal of Computational Chemistry, 36(20):1502–1520, 2015
Reference 65
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Observation cfcd7b81-eedf-42c8-ba31-8e403b1990cf · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Deep sets.Advances in Neural Information Processing Systems, 2017
Reference 66
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Observation 9388abcf-0997-4061-9268-ff1757cc2b45 · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Gefl: extended filtration learning for graph classifica- tion.Learning on Graphs Conference, 2022
Reference 67
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Observation 51ccc13c-42de-48fd-9244-9be743447a3e · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams Persistence bag-of-words for topological data analysis.International Joint Conference on Artificial Intelligence, 2019
Reference 68
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Observation d0e77404-3ff8-4c07-a354-f8b4a172b8eb · outbound
Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams The geometric stability of Voronoi diagrams with respect to small changes of the sites
Reference 69
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