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hal-01664767v1  Conference papers
Maks OvsjanikovEtienne CormanMichael BronsteinEmanuele RodolaMirela Ben-Chen et al.  Computing and Processing Correspondences with Functional Maps
ACM SIGGRAPH 2017 Courses, Jul 2017, Los Angeles, United States. pp.1-62
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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-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⟩
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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-01425558v1  Book sections
Frédéric ChazalDavid Cohen-SteinerAndré LieutierQuentin MerigotBoris Thibert. Inference of curvature using tubular neighborhoods
L. Najman; P. Romon. Lecture Notes in Mathematics, 2184, Springer, pp.133-158, 2017, Modern Approaches to Discrete Curvature, 978-3-319-58001-2. ⟨10.1007/978-3-319-58002-9_4⟩
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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