Florent Bouchard
22
Documents
Publications
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Riemannian classification of EEG signals with missing valuesEuropean Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia
Conference papers
hal-03856816v1
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ON THE USE OF GEODESIC TRIANGLES BETWEEN GAUSSIAN DISTRIBUTIONS FOR CLASSIFICATION PROBLEMSIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ICASSP, May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9747872⟩
Conference papers
hal-03752879v1
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On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data2021 29th European Signal Processing Conference (EUSIPCO), Aug 2021, Dublin, Ireland. pp.856-859, ⟨10.23919/EUSIPCO54536.2021.9616101⟩
Conference papers
hal-03521267v1
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A Tyler-type estimator of location and scatter leveraging Riemannian optimization2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9414974⟩
Conference papers
hal-03144104v1
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Riemannian framework for robust covariance matrix estimation in spiked modelsICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. ⟨10.1109/icassp40776.2020.9054726⟩
Conference papers
hal-02571084v1
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Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sourcesICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. ⟨10.1109/icassp40776.2020.9052996⟩
Conference papers
hal-02571093v1
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A Riemannian approach to blind separation of t-distributed sourcesEUSIPCO 2020, Aug 2020, Amsterdam, France
Conference papers
hal-02988356v1
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Random Matrix Improved Covariance Estimation for a Large Class of MetricsICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States
Conference papers
hal-02152121v1
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Bornes de Cramér-Rao Intrinsèques pour l'estimation de la matrice de dispersion normalisée dans les distributions elliptiquesGRETSI 2019, Aug 2019, Lille, France
Conference papers
hal-02388701v1
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A Closed-Form Unsupervised Geometry-Aware Dimensionality Reduction Method in the Riemannian Manifold of SPD MatricesEMBC 2017 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Jul 2017, Jeju Island, South Korea. pp.3198-3201, ⟨10.1109/EMBC.2017.8037537⟩
Conference papers
hal-01563153v1
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Approximate Joint Diagonalization According to the Natural Riemannian DistanceLVA/ICA 2017 - 13th International Conference on Latent Variable Analysis and Signal Separation, Feb 2017, Grenoble, France. pp.290-299, ⟨10.1007/978-3-319-53547-0_28⟩
Conference papers
hal-01551813v1
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Borne de Cramér-Rao intrinsèque pour la matrice de covariance des distributions elliptiques complexesGRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France
Conference papers
hal-01586939v1
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Réduction de dimension pour la Séparation Aveugle de SourcesGRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France
Conference papers
hal-01589766v1
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Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machineGRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Cédric Richard; Marc Antonini, Sep 2017, Juan-Les-Pins, France
Conference papers
hal-01591252v1
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Dimensionality Reduction for BCI classification using Riemannian geometryBCI 2017 - 7th International Brain-Computer Interface Conference, Gernot R. Müller-Putz, Sep 2017, Graz, Austria. ⟨10.3217/978-3-85125-533-1-16⟩
Conference papers
hal-01591258v1
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Approximate Joint Diagonalization within the Riemannian Geometry FrameworkEUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.210-214, ⟨10.1109/EUSIPCO.2016.7760240⟩
Conference papers
hal-01370052v1
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