Rodrigo Cabral Farias

According to our database, Rodrigo Cabral Farias authored at least 27 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A generalized approach for Boolean matrix factorization.

Rodrigo Cabral Farias, Sebastian Miron

Signal Process., May, 2023

Projected Hierarchical ALS for Generalized Boolean Matrix Factorization.

Rodrigo Cabral Farias, Sebastian Miron

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Robust Sensor Placement for Signal Extraction.

Fateme Ghayem, Bertrand Rivet, Rodrigo Cabral Farias, Christian Jutten

IEEE Trans. Signal Process., 2021

Distortion Approximation of a Compressed Softmax Layer.

Diana Resmerita, Rodrigo Cabral Farias, Benoît Dupont de Dinechin, Lionel Fillatre

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Classification Error Approximation of a Compressed Linear Softmax Layer.

Diana Resmerita, Rodrigo Cabral Farias, Lionel Fillatre

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Alternating Group Lasso for Block-Term Tensor Decomposition and Application to ECG Source Separation.

José Henrique de Morais Goulart, Pedro Marinho R. de Oliveira, Rodrigo Cabral Farias, Vicente Zarzoso, Pierre Comon

IEEE Trans. Signal Process., 2020

Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement.

Fateme Ghayem, Bertrand Rivet, Christian Jutten, Rodrigo Cabral Farias

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Optimal Sensor Placement for Signal Extraction.

Fateme Ghayem, Bertrand Rivet, Christian Jutten, Rodrigo Cabral Farias

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Curve Registered Coupled Low Rank Factorization.

Jeremy Emile Cohen, Rodrigo Cabral Farias, Bertrand Rivet

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Coherence Constrained Alternating Least Squares.

Rodrigo Cabral Farias, José Henrique de Morais Goulart, Pierre Comon

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Wideband Multiple Diversity Tensor Array Processing.

Francesca Raimondi, Rodrigo Cabral Farias, Olivier J. J. Michel, Pierre Comon

IEEE Trans. Signal Process., 2017

2016

Exploring Multimodal Data Fusion Through Joint Decompositions with Flexible Couplings.

Rodrigo Cabral Farias, Jeremy Emile Cohen, Pierre Comon

IEEE Trans. Signal Process., 2016

Nonnegative Tensor CP Decomposition of Hyperspectral Data.

Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Jocelyn Chanussot, Pierre Comon

IEEE Trans. Geosci. Remote. Sens., 2016

Performance bounds for coupled models.

Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Canonical polyadic decomposition of hyperspectral patch tensors.

Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, Jocelyn Chanussot, Pierre Comon

Proceedings of the 24th European Signal Processing Conference, 2016

Joint tensor compression for coupled canonical polyadic decompositions.

Jeremy Emile Cohen, Rodrigo Cabral Farias, Pierre Comon

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Fast Decomposition of Large Nonnegative Tensors.

Jeremy E. Cohen, Rodrigo Cabral Farias, Pierre Comon

IEEE Signal Process. Lett., 2015

Joint Decompositions with Flexible Couplings.

Rodrigo Cabral Farias, Jeremy Emile Cohen, Christian Jutten, Pierre Comon

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Canonical polyadic tensor decomposition in the presence of non Gaussian noise.

Rodrigo Cabral Farias, Pierre Comon

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Scalar Quantization for Estimation: From An Asymptotic Design to a Practical Solution.

Rodrigo Cabral Farias, Jean-Marc Brossier

IEEE Trans. Signal Process., 2014

Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise.

Rodrigo Cabral Farias, Eric Moisan, Jean-Marc Brossier

IEEE Signal Process. Lett., 2014

Data mining by nonnegative tensor approximation.

Rodrigo Cabral Farias, Pierre Comon, Roland Redon

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

2013

Adaptive quantizers for estimation.

Rodrigo Cabral Farias, Jean-Marc Brossier

Signal Process., 2013

Optimal Scalar Quantization for Parameter Estimation.

Rodrigo Cabral Farias, Jean-Marc Brossier

CoRR, 2013

Adaptive estimation based on quantized measurements.

Rodrigo Cabral Farias, Jean-Marc Brossier

Proceedings of IEEE International Conference on Communications, 2013

Asymptotic approximation of optimal quantizers for estimation.

Rodrigo Cabral Farias, Jean-Marc Brossier

Proceedings of the IEEE International Conference on Acoustics, 2013

Adjustable quantizers for joint estimation of location and scale parameters.

Rodrigo Cabral Farias, Jean-Marc Brossier

Proceedings of the IEEE International Conference on Acoustics, 2013