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	1 2	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 57 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM
	inria-00104582v2 Rapport Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert. Shape Smoothing using Double Offsets [Research Report] RR-5991, INRIA. 2006, pp.21
	hal-00923609v1 Article dans une revue Omri Azencot, Mirela Ben Chen, Leonidas J. Guibas, Maks Ovsjanikov, Raif Rustamov et al. Map-Based Exploration of Intrinsic Shape Differences and Variability ACM Transactions on Graphics (TOG), ACM New York, NY, USA, 2013, ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings, 32 (4), pp.article 72
	hal-00923684v1 Communication dans un congrès Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry Wasserman. Stochastic Convergence of Persistence Landscapes and Silhouettes 30th ACM Symposium on Computational Geometry, Jun 2014, Kyoto, Japan. ACM, pp.474, 2014
	hal-01074566v1 Communication dans un congrès Mickaël Buchet, Frédéric Chazal, Steve Yann Oudot, Donald R. Sheehy. Efficient and Robust Persistent Homology for Measures ACM-SIAM Symposium on Discrete Algorithms, Jan 2015, San Diego, United States. <http://www.siam.org/meetings/da15/>
	hal-00772475v1 Communication dans un congrès Frédéric Chazal, Leonidas J. Guibas, Primoz Skraba, Maks Ovsjanikov. Persistence-based Segmentation of Deformable Shapes CVPR Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, Jun 2010, San Francisco, United States. 2010
	inria-00294591v3 Rapport Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba. Analysis of Scalar Fields over Point Cloud Data [Research Report] RR-6576, INRIA. 2008
	inria-00124825v2 Rapport Frédéric Chazal, David Cohen-Steiner, André Lieutier. Normal Cone Approximation and Offset Shape Isotopy [Research Report] RR-6100, INRIA. 2007, pp.21
	hal-01316989v1 Chapitre d'ouvrage Frédéric Chazal. High-Dimensional Topological Data Analysis 3rd Handbook of Discrete and Computational Geometry, CRC Press, 2016
	inria-00629932v1 Rapport Frédéric Chazal, Daniel Chen, Leonidas J. Guibas, Xiaoye Jiang, Christian Sommer. Data-Driven Trajectory Smoothing [Research Report] RR-7754, INRIA. 2011
	hal-01301937v2 Communication dans un congrès Thomas Bonis, Maks Ovsjanikov, Steve Oudot, Frédéric Chazal. Persistence-based Pooling for Shape Pose Recognition 6th International Workshop on Computational Topology in Image Context (CTIC 2016), Jun 2016, Marseille, France. 9667, CTIC 2016 Proceedings of the 6th International Workshop on Computational Topology in Image Context
	hal-01425558v1 Chapitre d'ouvrage Frédéric Chazal, David Cohen-Steiner, A Lieutier, Quentin Merigot, Boris Thibert. Inference of curvature using tubular neighborhoods Lecture Notes in Mathematics, Springer, 2017
	hal-01521955v1 Pré-publication, Document de travail Eddie Aamari, Jisu Kim, Frédéric Chazal, Bertrand Michel, Alessandro Rinaldo et al. Estimating the Reach of a Manifold 2017
	hal-01157551v1 Pré-publication, Document de travail Frédéric Chazal, Pascal Massart, Bertrand Michel. Rates of convergence for robust geometric inference 2015
	inria-00560623v2 Pré-publication, Document de travail Gérard Biau, Frédéric Chazal, David Cohen-Steiner, Luc Devroye, Carlos Rodriguez. A Weighted k-Nearest Neighbor Density Estimate for Geometric Inference 2011
	inria-00154798v2 Rapport Frédéric Chazal, David Cohen-Steiner, Quentin Merigot. Stability of boundary measures [Research Report] RR-6219, INRIA. 2007, pp.20
	inria-00197543v3 Rapport Frédéric Chazal, Steve Oudot. Towards Persistence-Based Reconstruction in Euclidean Spaces [Research Report] RR-6391, INRIA. 2008
	inria-00630774v1 Communication dans un congrès Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas et al. Metric graph reconstruction from noisy data 27th Annual Symposium on Computational Geometry, 2011, Paris, France. pp.37-46, 2011, <10.1145/1998196.1998203>
	hal-01387021v2 Communication dans un congrès Frédéric Chazal, Ilaria Giulini, Bertrand Michel. Data driven estimation of Laplace-Beltrami operator 30th Conference on Neural Information Processing Systems (NIPS 2016), Dec 2016, Barcelona, Spain. 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain., 2016, <https://nips.cc/>
	hal-01073073v1 Communication dans un congrès Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo et al. Subsampling Methods for Persistent Homology International Conference on Machine Learning (ICML 2015), Jul 2015, Lille, France
	hal-00796041v1 Chapitre d'ouvrage Frédéric Cazals, Frédéric Chazal, Joachim 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-01094872v1 Communication dans un congrès Frédéric Chazal, Leonidas J. Guibas, Steve Oudot, Primoz Skraba. Persistence-Based Clustering in Riemannian Manifolds ACM Annual Symposium on Computational Geometry, Jun 2011, Paris, France. 27th ACM Annual Symposium on Computational Geometry, pp.97-106, 2011, <10.1145/1998196.1998212>
	hal-00879982v1 Pré-publication, Document de travail Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Aarti Singh et al. On the Bootstrap for Persistence Diagrams and Landscapes 2013
	inria-00389390v1 Rapport Frédéric Chazal, Leonidas J. Guibas, Steve Oudot, Primoz Skraba. Persistence-Based Clustering in Riemannian Manifolds [Research Report] RR-6968, INRIA. 2009, 47 p
	hal-01107617v1 Pré-publication, Document de travail Frédéric Chazal, Vin De Silva, Marc Glisse, Steve Oudot. The structure and stability of persistence modules 2012
	hal-01249364v1 Article dans une revue Omri Azencot, Maks Ovsjanikov, Frédéric Chazal, M 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>
	inria-00071648v1 Rapport Frédéric Chazal, David Cohen-Steiner. A condition for isotopic approximation RR-4931, INRIA. 2003
	hal-01368613v1 Communication dans un congrès Mickael Buchet, Frédéric Chazal, Steve Oudot, Donald Sheehy. Efficient and Robuste persistent homology for measures SIAM. Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms , Jan 2015, San Diego, United States. Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms 2015, Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms <10.1137/1.9781611973730.13>
	hal-00171507v1 Communication dans un congrès Frédéric Chazal, David Cohen-Steiner, André Lieutier, Boris Thibert. Shape Smoothing using Double Offsets Bruno Levy & Dinesh Manocha. SPM '07 - Solid and Physical Modeling, Jun 2007, Beijing, China. ACM Press, pp.183-192, 2007, <10.1145/1236246.1236273>
	hal-01330678v1 Ouvrage (y compris édition critique et traduction) Frédéric Chazal, Steve Y. Oudot, Marc Glisse, Vin De Silva. The Structure and Stability of Persistence Modules Springer Verlag, pp.VII, 116, 2016, SpringerBriefs in Mathematics, 978-3-319-42543-6. <http://www.springer.com/us/book/9783319425436>
	hal-01232197v1 Rapport Frédéric Chazal, Pascal Massart, Bertrand Michel. Rates of convergence for robust geometric inference [Research Report] INRIA. 2015
	1 2	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 57 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM

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