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Combining Multiple Resolutions into Hierarchical Representations for kernel-based Image Classification

Yanwei Cui , Sébastien Lefèvre , Laëtitia Chapel , Anne Puissant
international Conference on Geographic Object-Based Image Analysis (GEOBIA), 2016, Enschede, Netherlands
Conference papers hal-01320011v1
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A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification

Manal Hamzaoui , Laetitia Chapel , Minh-Tan Pham , Sébastien Lefèvre
ICPRAI 2022 - 3rd International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France
Conference papers hal-03694878v1
Image document

Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Classification

Manal Hamzaoui , Laetitia Chapel , Minh-Tan Pham , Sébastien Lefèvre
ORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
Conference papers hal-03339649v1
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Viability and Resilience of Languages in Competition

Laetitia Chapel , Xavier Castelló , Claire Bernard , Guillaume Deffuant , Víctor M. Eguíluz , et al.
PLoS ONE, 2010, 5 (1), pp.e8681. ⟨10.1371/journal.pone.0008681⟩
Journal articles hal-00499485v1
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Utiliser des "support vector machines" pour apprendre un noyau de viabilité

Guillaume Deffuant , Sophie Martin , Laëtitia Chapel
MajecSTIC 2005 : Manifestation des Jeunes Chercheurs francophones dans les domaines des STIC, IRISA – IETR – LTSI, Nov 2005, Rennes, France. pp.195-202
Conference papers inria-00000833v1
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Scalable clustering of segmented trajectories within a continuous time framework. Application to maritime traffic data

Pierre Gloaguen , Laetitia Chapel , Chloé Friguet , Romain Tavenard
Machine Learning, 2023, Special Issue on Machine Learning for Earth Observation Data, 112, pp.1975-2001. ⟨10.1007/s10994-021-06004-8⟩
Journal articles hal-02617575v3
Image document

Next step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS \& Sentinel Satellite Data Streams

Ronan Fablet , Nicolas Bellec , Laetitia Chapel , Chloe Friguet , René Garello , et al.
BiDS 2017 : Big Data from Space Conference, Nov 2017, Toulouse, France
Conference papers hal-01756071v1
Image document

A subpath kernel for learning hierarchical image representations

Yanwei Cui , Laëtitia Chapel , Sébastien Lefèvre
IAPR International Workshop on Graph-based Representations in Pattern Recognition, 2015, Beijing, China. pp.34-43, ⟨10.1007/978-3-319-18224-7_4⟩
Conference papers hal-01168099v1
Image document

Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach

Yanwei Cui , Laëtitia Chapel , Sébastien Lefèvre
Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2016, Los Angeles, United States
Conference papers hal-01320012v1
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Efficient Temporal Kernels between Feature Sets for Time Series Classification

Romain Tavenard , Simon Malinowski , Laetitia Chapel , Adeline Bailly , Heider Sanchez , et al.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, Sep 2017, Skopje, Macedonia
Conference papers halshs-01561461v1

Sparse input matrix and state estimation for linear systems

Laetitia Chapel , Douglas J. Leith
Decision and Control (CDC), 2010 49th IEEE Conference on, Dec 2010, United States. pp.4441-4446, ⟨10.1109/CDC.2010.5718016⟩
Conference papers hal-00616734v1
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Utiliser des machines à vecteurs de support pour approcher les contours d'une fonction valeur dans des problèmes d'atteinte de cible

Laetitia Chapel , Guillaume Deffuant
12ieme Journée Scientifique de l'Ecole Doctorale SPI : Apprentissage statistique - Apprentissage symbolique, May 2008, Aubière, France. pp.5
Conference papers hal-00499497v1
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Classwise hyperspectral image classification with PerTurbo method

Laetitia Chapel , Thomas Burger , Nicolas Courty , Sébastien Lefèvre
IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.6883 - 6886, ⟨10.1109/IGARSS.2012.6352581⟩
Conference papers hal-00706709v1
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Hyperspectral image classification from multiscale description with constrained connectivity and metric learning

Sébastien Lefèvre , Laëtitia Chapel , François Merciol
6th International Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2014), Jun 2014, Lausanne, Switzerland
Conference papers hal-00998254v1
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Représentation d'images hyperspectrales sous forme d'arbres alpha

François Merciol , Laëtitia Chapel , Sébastien Lefèvre
Colloque Gretsi - Traitement du Signal et des Images, 2013, Brest, France. pp.ID 502
Conference papers hal-00905181v1
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Time Series Alignment with Global Invariances

Titouan Vayer , Romain Tavenard , Laetitia Chapel , Nicolas Courty , Rémi Flamary , et al.
Transactions on Machine Learning Research Journal, 2022
Journal articles hal-02473959v1

Viability and Resilience in the Dynamics of Language Competition

Xavier Castello , Federico Vazquez , Victor Eguiluz , Lucia Loureiro-Porto , Maxi San Miguel , et al.
Viability and Resilience of Complex Systems, Springer, pp.39-73, 2011
Book sections hal-00616676v1

SVM viability controller active learning

Laetitia Chapel , Guillaume Deffuant
Kernel machines and Reinforcement Learning Workshop - ICML 2006, 2006, Honolulu, United States
Conference papers hal-00616861v1
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POT : Python Optimal Transport

Rémi Flamary , Nicolas Courty , Alexandre Gramfort , Mokhtar Zahdi Alaya , Aurélie Boisbunon , et al.
Journal of Machine Learning Research, 2021
Journal articles hal-03264013v1

Approximating viability kernels and resilience values: algorithms and pratical issues illustrated with Kaviar software

Laetitia Chapel , Guillaume Deffuant
Viability and Resilience of Complex Systems, Springer, pp.161-192, 2011, ⟨10.1007/978-3-642-20423-4_7⟩
Book sections istex hal-00616672v1
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Fused Gromov-Wasserstein Distance for Structured Objects

Titouan Vayer , Laetitia Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty
Algorithms, 2020, 13 (9), pp.212. ⟨10.3390/a13090212⟩
Journal articles hal-02971153v1

MAD: Match-And-Deform for Time Series Domain Adaptation

François Painblanc , Laetitia Chapel , Nicolas Courty , Chloé Friguet , Charlotte Pelletier , et al.
Conférence sur l'Apprentissage automatique (CAp), Jul 2022, Vannes, France
Conference papers hal-03932463v1

Probabilistic approaches to cheating detection in online games

Laetitia Chapel , Dmitri D. Botvich , David Malone
Computational Intelligence and Games (CIG), 2010 IEEE Symposium on, Aug 2010, Denmark. pp.195-201, ⟨10.1109/ITW.2010.5593353⟩
Conference papers hal-00616746v1

A statistical test for anomaly detection using the reconstruction error of the Kernel PCA

Chloé Friguet , Laetitia Chapel
Computational and Methodological Statistics (CMstatistics), ERCIM work group, Dec 2015, Londres, United Kingdom
Conference papers hal-01256506v1
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Next Step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS & Sentinel Satellite Data Streams

Ronan Fablet , Nicolas Bellec , Laetitia Chapel , Chloé Friguet , René Garello , et al.
BiDS' 2017 - Conference on Big Data from Space, Nov 2017, Toulouse, France. pp.1-4
Poster communications hal-01671323v1

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties

Titouan Vayer , Laetitia Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty
Preprints, Working Papers, ... hal-02174316v1

Optimal Transport for structured data with application on graphs

Titouan Vayer , Laetitia Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty
ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.1-16
Conference papers hal-02174322v1
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Maintenir la viabilité ou la résilience d'un système : les machines à vecteurs de support pour rompre la malédiction de la dimensionnalité ?

Laëtitia Chapel
Modélisation et simulation. Université Blaise Pascal - Clermont-Ferrand II, 2007. Français. ⟨NNT : ⟩
Theses tel-00499465v1
Image document

Dense Bag-of-Temporal-SIFT-Words for Time Series Classification

Adeline Bailly , Simon Malinowski , Romain Tavenard , Laetitia Chapel , Thomas Guyet
Advanced Analysis and Learning on Temporal Data, Springer, 2016, 978-3319444116. ⟨10.1007/978-3-319-44412-3_2⟩
Book sections hal-01252726v4

Streamflow scaling properties: investigating characteristic scales from different statistical approaches

Eric Sauquet , Maria-Helena Ramos , Laetitia Chapel , Pietro Bernardara
Hydrological Processes, 2008, 22, pp.3462-3475
Journal articles hal-00616772v1