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Rodrigo Cabral Farias

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Journal Articles

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2023
[j10]
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Rodrigo Cabral Farias, Sebastian Miron:
A generalized approach for Boolean matrix factorization. Signal Process. 206: 108887 (2023)
2021
[j9]
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Fateme Ghayem, Bertrand Rivet, Rodrigo Cabral Farias, Christian Jutten:
Robust Sensor Placement for Signal Extraction. IEEE Trans. Signal Process. 69: 4513-4528 (2021)
2020
[j8]
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  - journals/tsp/GoulartOFZC20
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José Henrique de Morais Goulart, Pedro Marinho R. de Oliveira, Rodrigo Cabral Farias, Vicente Zarzoso, Pierre Comon:
Alternating Group Lasso for Block-Term Tensor Decomposition and Application to ECG Source Separation. IEEE Trans. Signal Process. 68: 2682-2696 (2020)
2017
[j7]
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Francesca Raimondi, Rodrigo Cabral Farias, Olivier J. J. Michel, Pierre Comon:
Wideband Multiple Diversity Tensor Array Processing. IEEE Trans. Signal Process. 65(20): 5334-5346 (2017)
2016
[j6]
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  - journals/tgrs/VeganzonesCFCC16
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Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Jocelyn Chanussot, Pierre Comon:
Nonnegative Tensor CP Decomposition of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 54(5): 2577-2588 (2016)
[j5]
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Rodrigo Cabral Farias, Jeremy Emile Cohen, Pierre Comon:
Exploring Multimodal Data Fusion Through Joint Decompositions with Flexible Couplings. IEEE Trans. Signal Process. 64(18): 4830-4844 (2016)
2015
[j4]
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Jeremy E. Cohen, Rodrigo Cabral Farias, Pierre Comon:
Fast Decomposition of Large Nonnegative Tensors. IEEE Signal Process. Lett. 22(7): 862-866 (2015)
2014
[j3]
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Rodrigo Cabral Farias, Eric Moisan, Jean-Marc Brossier:
Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise. IEEE Signal Process. Lett. 21(5): 523-526 (2014)
[j2]
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Rodrigo Cabral Farias, Jean-Marc Brossier:
Scalar Quantization for Estimation: From An Asymptotic Design to a Practical Solution. IEEE Trans. Signal Process. 62(11): 2860-2870 (2014)
2013
[j1]
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Rodrigo Cabral Farias, Jean-Marc Brossier:
Adaptive quantizers for estimation. Signal Process. 93(11): 3076-3087 (2013)

Conference and Workshop Papers

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2023
[c16]
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Rodrigo Cabral Farias, Sebastian Miron:
Projected Hierarchical ALS for Generalized Boolean Matrix Factorization. ICASSP 2023: 1-5
2021
[c15]
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  - conf/eusipco/ResmeritaFF21
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Diana Resmerita, Rodrigo Cabral Farias, Lionel Fillatre:
Classification Error Approximation of a Compressed Linear Softmax Layer. EUSIPCO 2021: 1446-1450
[c14]
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Diana Resmerita, Rodrigo Cabral Farias, Benoît Dupont de Dinechin, Lionel Fillatre:
Distortion Approximation of a Compressed Softmax Layer. SSP 2021: 491-495
2020
[c13]
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Fateme Ghayem, Bertrand Rivet, Christian Jutten, Rodrigo Cabral Farias:
Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement. ICASSP 2020: 5655-5659
2019
[c12]
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Fateme Ghayem, Bertrand Rivet, Christian Jutten, Rodrigo Cabral Farias:
Optimal Sensor Placement for Signal Extraction. ICASSP 2019: 4978-4982
2018
[c11]
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Rodrigo Cabral Farias, José Henrique de Morais Goulart, Pierre Comon:
Coherence Constrained Alternating Least Squares. EUSIPCO 2018: 613-617
[c10]
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Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet:
Curve Registered Coupled Low Rank Factorization. LVA/ICA 2018: 36-45
2016
[c9]
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Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, Jocelyn Chanussot, Pierre Comon:
Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO 2016: 2176-2180
[c8]
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Jeremy Emile Cohen, Rodrigo Cabral Farias, Pierre Comon:
Joint tensor compression for coupled canonical polyadic decompositions. EUSIPCO 2016: 2285-2289
[c7]
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  - conf/ieeesam/RenFAC16
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Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon:
Performance bounds for coupled models. SAM 2016: 1-5
2015
[c6]
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Rodrigo Cabral Farias, Pierre Comon:
Canonical polyadic tensor decomposition in the presence of non Gaussian noise. EUSIPCO 2015: 1321-1325
[c5]
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Rodrigo Cabral Farias, Jeremy Emile Cohen, Christian Jutten, Pierre Comon:
Joint Decompositions with Flexible Couplings. LVA/ICA 2015: 119-126
2014
[c4]
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Rodrigo Cabral Farias, Pierre Comon, Roland Redon:
Data mining by nonnegative tensor approximation. MLSP 2014: 1-6
2013
[c3]
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Rodrigo Cabral Farias, Jean-Marc Brossier:
Adjustable quantizers for joint estimation of location and scale parameters. ICASSP 2013: 6436-6440
[c2]
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Rodrigo Cabral Farias, Jean-Marc Brossier:
Asymptotic approximation of optimal quantizers for estimation. ICASSP 2013: 6441-6445
[c1]
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Rodrigo Cabral Farias, Jean-Marc Brossier:
Adaptive estimation based on quantized measurements. ICC 2013: 3101-3104

Informal and Other Publications

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2018
[i5]
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  - journals/corr/abs-1802-03203
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Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet:
Curve Registered Coupled Low Rank Factorization. CoRR abs/1802.03203 (2018)
2015
[i4]
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Rodrigo Cabral Farias, Jeremy Emile Cohen, Pierre Comon:
Exploring multimodal data fusion through joint decompositions with flexible couplings. CoRR abs/1505.07717 (2015)
2013
[i3]
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Rodrigo Cabral Farias, Eric Moisan, Jean-Marc Brossier:
Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise. CoRR abs/1310.6938 (2013)
[i2]
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Rodrigo Cabral Farias, Jean-Marc Brossier:
Optimal Scalar Quantization for Parameter Estimation. CoRR abs/1310.6945 (2013)
2012
[i1]
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  - journals/corr/abs-1210-3583
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Rodrigo Cabral Farias, Jean-Marc Brossier:
Adaptive Quantizers for Estimation. CoRR abs/1210.3583 (2012)

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