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Olivier Schwander

17
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DEEP-SST-EDDIES: A Deep Learning framework to detect oceanic eddies in Sea Surface Temperature images

Evangelos Moschos , Olivier Schwander , Alexandre Stegner , Patrick Gallinari
ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. pp.4307-4311, ⟨10.1109/ICASSP40776.2020.9053909⟩
Conference papers hal-02470051v1
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Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data

Daniel A Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.3672-3676, ⟨10.1109/ICASSP.2019.8683056⟩
Conference papers hal-02290838v1
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Complex-valued neural networks for fully-temporal micro-Doppler classification

Daniel A Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
2019 20th International Radar Symposium (IRS), Jun 2019, Ulm, Germany. ⟨10.23919/IRS.2019.8768161⟩
Conference papers hal-02290835v1
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A Hermitian Positive Definite neural network for micro-Doppler complex covariance processing

Daniel A Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
International Radar Conference, Sep 2019, Toulon, France
Conference papers hal-02422456v1
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STOCHASTIC ADAPTIVE NEURAL ARCHITECTURE SEARCH FOR KEYWORD SPOTTING

Tom Véniat , Olivier Schwander , Ludovic Denoyer
ICASSP 2019 - International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom
Conference papers hal-02063698v1
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Riemannian batch normalization for SPD neural networks

Daniel A Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
Thirty-third Annual Conference on Neural Information Processing Systems., Dec 2019, Vancouver, Canada
Conference papers hal-02422458v1
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Second-order networks in PyTorch

Daniel Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
GSI 2019 - 4th International Conference on Geometric Science of Information, Aug 2019, Toulouse, France. pp.751-758, ⟨10.1007/978-3-030-26980-7_78⟩
Conference papers hal-02290841v1
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Temporal Deep Learning for Drone Micro-Doppler Classification

Daniel Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
IRS 2018 - 19th International Radar Symposium, Jun 2018, Bonn, Germany. ⟨10.23919/IRS.2018.8447963⟩
Conference papers hal-02290839v1
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Comix: Joint Estimation and Lightspeed Comparison of Mixture Models

Olivier Schwander , Stéphane Marchand-Maillet , Frank Nielsen
ICASSP 2016, 2016, Shanghai, China. ⟨10.1109/ICASSP.2016.7472117⟩
Conference papers hal-01367923v1

Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models

Olivier Schwander , Franck Nielsen
Geometric Science of Information GSI 2015, Oct 2015, Palaiseau, France. pp.387-395, ⟨10.1007/978-3-319-25040-3_42⟩
Conference papers hal-01338652v1
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Aero-acoustics source separation with sparsity inducing priors in the frequency domain

Olivier Schwander , José Picheral , Nicolas Gac , Ali-Mohammad Djafari , Daniel Blacodon
34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.422 - 431, ⟨10.1063/1.4906006⟩
Conference papers hal-01103779v1
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Non-flat clustering whith alpha-divergences

Olivier Schwander , Frank Nielsen
ICASSP, May 2011, Prague, Czech Republic. pp.2100 - 2103, ⟨10.1109/ICASSP.2011.5946740⟩
Conference papers hal-00708634v1