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9 résultats
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triés par
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Bayesian nonparametric Principal Component Analysis2017
Pré-publication, Document de travail
hal-01687236v1
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Continuous dictionaries meet low-rank tensor approximationsiTwist 2020 - International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Jun 2020, Nantes, France. pp.1-3
Communication dans un congrès
hal-02567115v1
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When does OMP achieve exact recovery with continuous dictionaries?Applied and Computational Harmonic Analysis, 2021, 51, pp.39. ⟨10.1016/j.acha.2020.12.002⟩
Article dans une revue
hal-02099464v4
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A case of exact recovery with OMP using continuous dictionariesCS 2018 - 9th International Conference on Curves and Surfaces, Jun 2018, Arcachon, France
Communication dans un congrès
hal-01937532v1
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Bayesian anti-sparse codingIEEE Transactions on Signal Processing, 2016, ⟨10.1109/TSP.2016.2645543⟩
Article dans une revue
hal-01433706v1
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Small variance asymptotics and bayesian nonparametrics for dictionary learningEUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.1607-1611, ⟨10.23919/EUSIPCO.2018.8553142⟩
Communication dans un congrès
hal-01961852v1
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Uniform k-step recovery with CMF dictionariesSPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations, Jul 2019, Toulouse, France. pp.1-2
Communication dans un congrès
hal-02157561v1
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Identification de supports en k étapes avec OMP pour les dictionnaires continusGRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.1-4
Communication dans un congrès
hal-02157571v1
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OMP and continuous dictionaries: Is k-step recovery possible ?2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), IEEE, May 2019, Brighton, United Kingdom. pp.1-5, ⟨10.1109/ICASSP.2019.8683617⟩
Communication dans un congrès
hal-02049486v3
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