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hal-01864467v1  Conference papers
Bertrand BeaufilsFrédéric ChazalMarc GreletBertrand Michel. Activity recognition from stride detection: a machine learning approach based on geometric patterns and trajectory reconstruction
IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation, Sep 2018, Nantes, France
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hal-02093445v1  Conference papers
Hirokazu AnaiFrédéric ChazalMarc GlisseYuichi IkeHiroya Inakoshi et al.  DTM-based Filtrations
SoCG 2019 - 35th International Symposium on Computational Geometry, Jun 2019, Portland, United States. ⟨10.4230/LIPIcs.SoCG.2019.58⟩
hal-01368613v1  Conference papers
Mickael BuchetFrédéric ChazalSteve OudotDonald Sheehy. Efficient and Robuste persistent homology for measures
Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms , Jan 2015, San Diego, United States. ⟨10.1137/1.9781611973730.13⟩
hal-00923607v1  Journal articles
Maks OvsjanikovMirela Ben ChenOmri AzencotFrédéric Chazal. An operator Approach to Tangent Vector Field Processing
Computer Graphics Forum, Wiley, 2013, Proc. Eurographics Symposium on Geometry Processing 2013, 32 (5), pp.73-82. ⟨10.1111/cgf.12174⟩
hal-01094871v1  Journal articles
Gérard BiauFrédéric ChazalDavid Cohen-SteinerLuc DevroyeCarlos Rodríguez. A weighted k-nearest neighbor density estimate for geometric inference
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp.204-237
hal-01073070v1  Conference papers
Frédéric ChazalJian Sun. Gromov-Hausdorff Approximation of Filament Structure Using Reeb-type Graph
SOCG 2014 - 30th ACM Annual Symposium on Computational Geometry, Jun 2014, Kyoto, Japan. pp.491-500, ⟨10.1145/2582112.2582129⟩
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hal-01232217v1  Journal articles
Frédéric ChazalBrittany FasyFabrizio LecciBertrand MichelAlessandro Rinaldo et al.  Robust Topological Inference: Distance To a Measure and Kernel Distance
Journal of Machine Learning Research, Microtome Publishing, 2018, 18 (159), pp.40
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hal-00796041v1  Book sections
Frédéric CazalsFrédéric ChazalJoachim Giesen. Spectral Techniques to Explore Point Clouds in Euclidean Space, with Applications to Collective Coordinates in Structural Biology
Ioannis Z. Emiris and Frank Sottile and Thorsten Theobald. Nonlinear Computational Geometry, 151, Springer, pp.1-34, 2010, The IMA Volumes in Mathematics and its Applications, 978-1-4419-0998-5. ⟨10.1007/978-1-4419-0999-2_1⟩
hal-01249364v1  Journal articles
Omri AzencotMaks OvsjanikovFrédéric ChazalM Ben-Chen. Discrete Derivatives of Vector Fields on Surfaces – An Operator Approach
ACM Transactions on Graphics, Association for Computing Machinery, 2015, 34 (3), ⟨10.1145/2723158⟩
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hal-01919562v3  Journal articles
Hirokazu AnaiFrédéric ChazalMarc GlisseYuichi IkeHiroya Inakoshi et al.  DTM-based Filtrations
Abel Symposia, Springer, 2020, Topological Data Analysis, 15, pp.33-66. ⟨10.1007/978-3-030-43408-3_2⟩
hal-00772444v1  Journal articles
Frédéric ChazalDavid Cohen-SteinerQuentin Merigot. Geometric Inference for Probability Measures
Foundations of Computational Mathematics, Springer Verlag, 2011, 11 (6), pp.733-751. ⟨10.1007/s10208-011-9098-0⟩
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hal-01664659v1  Conference papers
Frédéric ChazalBertrand BeaufilsMarc GreletBertrand Michel. Stride detection for pedestrian trajectory reconstruction: a machine learning approach based on geometric patterns
IPIN 2017 - 8th International Conference on Indoor Positioning and Indoor Navigation, Sep 2017, Sapporo, Japan. pp.1-6, ⟨10.1109/IPIN.2017.8115867⟩
hal-00923684v1  Conference papers
Frédéric ChazalBrittany Terese FasyFabrizio LecciAlessandro RinaldoLarry Wasserman. Stochastic Convergence of Persistence Landscapes and Silhouettes
30th ACM Symposium on Computational Geometry, Jun 2014, Kyoto, Japan. pp.474
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hal-03111277v1  Conference papers
Kwangho KimJisu KimManzil ZaheerJoon KimFrédéric Chazal et al.  PLLay: Efficient Topological Layer based on Persistence Landscapes
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
hal-00923560v1  Journal articles
Frédéric ChazalVin de SilvaSteve Y. Oudot. Persistence Stability for Geometric complexes
Geometriae Dedicata, Springer Verlag, 2014, 173, pp.193-214. ⟨10.1007/s10711-013-9937-z⟩
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hal-01716181v3  Conference papers
Frédéric ChazalVincent Divol. The density of expected persistence diagrams and its kernel based estimation
SoCG 2018 - Symposium of Computational Geometry, Jun 2018, Budapest, Hungary
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inria-00154798v2  Reports
Frédéric ChazalDavid Cohen-SteinerQuentin Merigot. Stability of boundary measures
[Research Report] RR-6219, INRIA. 2007, pp.20
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hal-01074566v1  Conference papers
Mickaël BuchetFrédéric ChazalSteve Yann OudotDonald R. Sheehy. Efficient and Robust Persistent Homology for Measures
ACM-SIAM Symposium on Discrete Algorithms, Jan 2015, San Diego, United States