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Semi-independent resampling for particle filteringIEEE Signal Processing Letters, 2018, 25 (1), pp.130 - 134. ⟨10.1109/LSP.2017.2775150⟩
Journal articles
hal-01670395v1
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Direct, prediction- and smoothing-based Kalman and particle filter algorithmsSignal Processing, 2011, 91 (8), pp.2064 - 2077. ⟨10.1016/j.sigpro.2011.03.013⟩
Journal articles
istex
hal-01354694v1
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Poursuite de cible par un senseur mobile ; repérage multisenseur de la position du senseur mobileXXIVème Colloque Gretsi, Sep 2013, Brest, France
Conference papers
hal-00867150v1
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Particle filters with independent resamplingICASSP 2016 : 41st International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.3994 - 3998, ⟨10.1109/ICASSP.2016.7472427⟩
Conference papers
hal-01341157v1
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Improving performances of log mining for anomaly prediction through NLP-based log parsingMASCOTS 2018: 26th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Sep 2018, Milwaukee, United States. pp.237 - 243, ⟨10.1109/MASCOTS.2018.00031⟩
Conference papers
hal-01919820v1
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A non asymptotical analysis of the optimal SIR algorithm vs. the fully adapted auxiliary particle filterSSP 2011 : Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.213 - 216, ⟨10.1109/SSP.2011.5967662⟩
Conference papers
hal-01354690v1
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Filtrage particulaire optimal et filtrage particulaire auxiliaire adapté : une analyse non asymptotiqueGRETSI 2011 : XXIIIe Colloque, Sep 2011, Bordeaux, France
Conference papers
hal-01347966v1
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Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data2022
Preprints, Working Papers, ...
hal-03584314v1
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Track-before-detect and PHD filter for multi-object tracking in infrared image sequencesSENSO 2014 : Sensors, Energy harvesting, wireless Network and Smart Objects, Oct 2014, Gardanne, France
Conference poster
hal-01332943v1
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Predictive models of hard drive failures based on operational data ICMLA 2017 : 16th IEEE International Conference On Machine Learning And Applications, Dec 2017, Cancun, Mexico. pp.619 - 625, ⟨10.1109/ICMLA.2017.00-92⟩
Conference papers
hal-01703140v1
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Optimal SIR algorithm vs. fully adapted auxiliary particle filter : a matter of conditional independenceICASSP 2011 : International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.3992 - 3995, ⟨10.1109/ICASSP.2011.5947227⟩
Conference papers
hal-01304056v1
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A double proposal normalized importance sampling estimatorSSP 2018: IEEE Statistical Signal Processing Workshop, Jun 2018, Freiburg, Germany. pp.238 - 242, ⟨10.1109/SSP.2018.8450849⟩
Conference papers
hal-01870199v1
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A particle smoothing implementation of the fully-adapted auxiliary particle filter : an alternative to auxiliary particle filtersSSP 2011 : Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.217 - 220, ⟨10.1109/SSP.2011.5967663⟩
Conference papers
hal-01354688v1
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Comparing the modeling powers of RNN and HMMICMLA 2019: 18th International Conference on Machine Learning and Applications, Dec 2019, Boca Raton, FL, United States. pp.1496-1499
Conference papers
hal-02387002v1
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An improved SIR-based sequential Monte Carlo algorithm2016 IEEE Workshop on Statistical Signal Processing (SSP 16), Jun 2016, Palma de Mallorca, Spain
Conference papers
hal-01359095v1
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Chaînes de Markov cachées à bruit généralisé2022
Preprints, Working Papers, ...
hal-03698101v1
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Combining federated and active learning for communication-efficient distributed failure prediction in aeronautics2019
Preprints, Working Papers, ...
hal-02446200v1
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Independent resampling sequential Monte Carlo algorithmsIEEE Transactions on Signal Processing, 2017, 65 (20), pp.5318 - 5333. ⟨10.1109/TSP.2017.2726971⟩
Journal articles
hal-01593422v1
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Exact optimal filtering in an approximating switching systemTAIMA 2013 : Traitement et Analyse de l'Information Méthodes et Applications, May 2013, Hammamet, Tunisia
Conference papers
hal-01461574v1
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Direct vs. indirect sequential Monte-Carlo filtersSMTDA 2010 : Stochastic Modeling Techniques and Data Analysis International Conference, Jun 2010, Chania, Greece. pp.121 - 128
Conference papers
hal-01306303v1
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Expressivity of hidden Markov chains vs. Recurrent neural networks from a system theoretic viewpoint2022
Preprints, Working Papers, ...
hal-03746170v1
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Spatio-temporal convolutional neural networks for failure predictionGRETSI 2019: XXVIIème colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.1-5
Conference papers
hal-02282219v1
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