Rodrigo Cabral Farias

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 17

Top Topics

Sensor Placement

Tensor Decomposition

Joint Estimation

Top Venues

IEEE Trans. Signal Process.

Publications

Rodrigo Cabral Farias, Sebastian Miron
Projected Hierarchical ALS for Generalized Boolean Matrix Factorization. ICASSP (2023)
Rodrigo Cabral Farias, Sebastian Miron
A generalized approach for Boolean matrix factorization. Signal Process. 206 (2023)
Fateme Ghayem, Bertrand Rivet, Rodrigo Cabral Farias, Christian Jutten
Robust Sensor Placement for Signal Extraction. IEEE Trans. Signal Process. 69 (2021)
Diana Resmerita, Rodrigo Cabral Farias, Benoît Dupont de Dinechin, Lionel Fillatre
Distortion Approximation of a Compressed Softmax Layer. SSP (2021)
Diana Resmerita, Rodrigo Cabral Farias, Lionel Fillatre
Classification Error Approximation of a Compressed Linear Softmax Layer. EUSIPCO (2021)
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 (2020)
Fateme Ghayem, Bertrand Rivet, Christian Jutten, Rodrigo Cabral Farias
Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement. ICASSP (2020)
Fateme Ghayem, Bertrand Rivet, Christian Jutten, Rodrigo Cabral Farias
Optimal Sensor Placement for Signal Extraction. ICASSP (2019)
Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet
Curve Registered Coupled Low Rank Factorization. LVA/ICA (2018)
Rodrigo Cabral Farias, José Henrique de Morais Goulart, Pierre Comon
Coherence Constrained Alternating Least Squares. EUSIPCO (2018)
Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet
Curve Registered Coupled Low Rank Factorization. CoRR (2018)
Francesca Raimondi, Rodrigo Cabral Farias, Olivier J. J. Michel, Pierre Comon
Wideband Multiple Diversity Tensor Array Processing. IEEE Trans. Signal Process. 65 (20) (2017)
Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon
Performance bounds for coupled models. SAM (2016)
Jeremy Emile Cohen, Rodrigo Cabral Farias, Pierre Comon
Joint tensor compression for coupled canonical polyadic decompositions. EUSIPCO (2016)
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)
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) (2016)
Rodrigo Cabral Farias, Jeremy Emile Cohen, Pierre Comon
Exploring Multimodal Data Fusion Through Joint Decompositions with Flexible Couplings. IEEE Trans. Signal Process. 64 (18) (2016)
Jeremy E. Cohen, Rodrigo Cabral Farias, Pierre Comon
Fast Decomposition of Large Nonnegative Tensors. IEEE Signal Process. Lett. 22 (7) (2015)
Rodrigo Cabral Farias, Pierre Comon
Canonical polyadic tensor decomposition in the presence of non Gaussian noise. EUSIPCO (2015)
Rodrigo Cabral Farias, Jeremy Emile Cohen, Christian Jutten, Pierre Comon
Joint Decompositions with Flexible Couplings. LVA/ICA (2015)
Rodrigo Cabral Farias, Jeremy Emile Cohen, Pierre Comon
Exploring multimodal data fusion through joint decompositions with flexible couplings. CoRR (2015)
Rodrigo Cabral Farias, Eric Moisan, Jean-Marc Brossier
Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise. IEEE Signal Process. Lett. 21 (5) (2014)
Rodrigo Cabral Farias, Pierre Comon, Roland Redon
Data mining by nonnegative tensor approximation. MLSP (2014)
Rodrigo Cabral Farias, Jean-Marc Brossier
Scalar Quantization for Estimation: From An Asymptotic Design to a Practical Solution. IEEE Trans. Signal Process. 62 (11) (2014)
Rodrigo Cabral Farias, Jean-Marc Brossier
Optimal Scalar Quantization for Parameter Estimation. CoRR (2013)
Rodrigo Cabral Farias, Jean-Marc Brossier
Adaptive estimation based on quantized measurements. ICC (2013)
Rodrigo Cabral Farias, Jean-Marc Brossier
Adaptive quantizers for estimation. Signal Process. 93 (11) (2013)
Rodrigo Cabral Farias, Jean-Marc Brossier
Adjustable quantizers for joint estimation of location and scale parameters. ICASSP (2013)
Rodrigo Cabral Farias, Jean-Marc Brossier
Asymptotic approximation of optimal quantizers for estimation. ICASSP (2013)
Rodrigo Cabral Farias, Eric Moisan, Jean-Marc Brossier
Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise. CoRR (2013)
Rodrigo Cabral Farias, Jean-Marc Brossier
Adaptive Quantizers for Estimation CoRR (2012)