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27

Rodrigo Cabral Farias


Journal articles8 documents

  • 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 with application to ECG source separation. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2020, 68, pp.2682-2696. ⟨10.1109/TSP.2020.2985591⟩. ⟨hal-01899469v3⟩
  • Francesca Raimondi, Rodrigo Cabral Farias, Olivier Michel, Pierre Comon. Wideband multiple diversity tensor array processing. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (20), pp.5334-5346. ⟨10.1109/TSP.2017.2725219⟩. ⟨hal-01350549v5⟩
  • Miguel Angel Veganzones, Jérémy Cohen, Rodrigo Cabral Farias, Jocelyn Chanussot, Pierre Comon. Nonnegative tensor CP decomposition of hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016, 54 (5), pp.2577-2588. ⟨10.1109/TGRS.2015.2503737⟩. ⟨hal-01134470v2⟩
  • Rodrigo Cabral Farias, Jérémy Cohen, Pierre Comon. Exploring multimodal data fusion through joint decompositions with flexible couplings. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2016, 64 (18), pp.4830-4844. ⟨10.1109/TSP.2016.2576425⟩. ⟨hal-01158082⟩
  • Jérémy Cohen, Rodrigo Cabral Farias, Pierre Comon. Fast Decomposition of Large Nonnegative Tensors. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2015, 22 (7), pp.862-866. ⟨10.1109/LSP.2014.2374838⟩. ⟨hal-01069069⟩
  • Rodrigo Cabral Farias, Eric Moisan, Jean-Marc Brossier. Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2014, 21 (5), pp.523-526. ⟨10.1109/LSP.2014.2308419⟩. ⟨hal-00877213⟩
  • Rodrigo Cabral Farias, Jean-Marc Brossier. Scalar Quantization for Estimation: From An Asymptotic Design to a Practical Solution. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2014, 62 (11), pp.2860-2870. ⟨10.1109/TSP.2014.2318140⟩. ⟨hal-00877212⟩
  • Rodrigo Cabral Farias, Jean-Marc Brossier. Adaptive Quantizers for Estimation. Signal Processing, Elsevier, 2013, 93 (11), pp.3076-3087. ⟨10.1016/j.sigpro.2013.04.012⟩. ⟨hal-00875925⟩

Conference papers17 documents

  • Resmerita Diana, Rodrigo Cabral Farias, Benoît Dupont de Dinechin, Lionel Fillatre. Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniforme. Colloque GRETSI, Aug 2019, Lille, France. ⟨hal-02906788⟩
  • Resmerita Diana, Rodrigo Cabral Farias, Benoît Dupont de Dinechin, Lionel Fillatre. Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniforme. Oasis 2019, May 2019, Saint-Dié-des-Vosges, France. ⟨hal-02906786⟩
  • Jérémy Cohen, Rodrigo Cabral Farias, Bertrand Rivet. Curve Registered Coupled Low Rank Factorization. LVA/ICA 2018 - 14th International Conference on Latent Variable Analysis and Signal Separation, Jul 2018, Guildford, United Kingdom. ⟨hal-01710498⟩
  • Rodrigo Cabral Farias, José Henrique de Morais Goulart, Pierre Comon. Coherence Constrained Alternating Least Squares. EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. ⟨10.23919/EUSIPCO.2018.8553084⟩. ⟨hal-01693946v2⟩
  • Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon. Performances optimales pour les données multimodales partiellement couplées. GRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France. ⟨hal-01567124⟩
  • Miguel Angel Veganzones, Sylvain Douté, Jérémy Cohen, Rodrigo Cabral Farias, Jocelyn Chanussot, et al.. Nonnegative CP decomposition of multiangle hyperspectral data: a case study on CRISM observations of martian icy surface. WHISPERS 2016 - 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Aug 2016, Los Angeles, CA, United States. ⟨hal-01382360⟩
  • Miguel Angel Veganzones, Jérémy Cohen, Rodriguo Cabral Farias, Konstantin Usevich, Lucas Drumetz, et al.. Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.2176-2180, ⟨10.1109/EUSIPCO.2016.7760634⟩. ⟨hal-01382362⟩
  • Jérémy Cohen, Rodrigo Cabral Farias, Pierre Comon. Joint Tensor Compression for Coupled Canonical Polyadic Decompositions. EUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. ⟨hal-01326132⟩
  • Jérémy Cohen, Rodrigo Cabral Farias, Pierre Comon. Analyse de grandes données tensorielles couplées. GRETSI 2015 - XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France. ⟨hal-01135090⟩
  • Rodrigo Cabral Farias, Pierre Comon. Canonical Polyadic Tensor Decomposition in the Presence of Non Gaussian Noise. EUSIPCO 2015 - 23th European Signal Processing Conference, EURASIP, Aug 2015, Nice, France. ⟨hal-01119833⟩
  • Miguel Angel Veganzones, Jérémy Cohen, Rodrigo Cabral Farias, Ruben Marrero, Jocelyn Chanussot, et al.. Multilinear spectral unmixing of hyperspectral multiangle images. EUSIPCO 2015 - 23th European Signal Processing Conference, IEEE Signal Processing Society, Aug 2015, Nice, France. pp.749-753. ⟨hal-01158900⟩
  • Rodrigo Cabral Farias, Jérémy Cohen, Christian Jutten, Pierre Comon. Joint decompositions with flexible couplings. LVA/ICA 2015 - 12th International Conference on Latent Variable Analysis and Signal Separation, Aug 2015, Liberec, Czech Republic. ⟨10.1007/978-3-319-22482-414⟩. ⟨hal-01135920v2⟩
  • Rodrigo Cabral Farias, Pierre Comon, Roland Redon. Data Mining by NonNegative Tensor Approximation. MLSP 2014 - IEEE 24th International Workshop on Machine Learning for Signal Processing, Sep 2014, Reims, France. ⟨hal-01077801⟩
  • Rodrigo Cabral Farias, Jean-Marc Brossier. Asymptotic Approximation of Optimal Quantizers for Estimation. ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.SPTM-P13.8. ⟨hal-00875978⟩
  • Rodrigo Cabral Farias, Jean-Marc Brossier. Adjustable Quantizers for Joint Estimation of Location and Scale Parameters. ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.SPTM-P13.7. ⟨hal-00875935⟩
  • Rodrigo Cabral Farias, Jean-Marc Brossier. Adaptive Estimation Based on Quantized Measurements. ICC 2013 - IEEE International Conference on Communications, Jun 2013, Budapest, Hungary. pp.CT-04/5. ⟨hal-00875981⟩
  • Rodrigo Cabral Farias, Jean-Marc Brossier. Quantification asymétrique optimale pour l'estimation d'un paramètre de centrage dans un bruit de loi symétrique. GRETSI 2013 - XXIVème Colloque francophone de traitement du signal et des images, Sep 2013, Brest, France. pp.ID249. ⟨hal-00875990⟩

Reports2 documents

  • Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon. Performance bounds for coupled models. [Research Report] GIPSA-lab. 2016. ⟨hal-01280480⟩
  • Rodrigo Cabral Farias, Jean-Marc Brossier. A Fusion Center Approach for Estimation Using Quantized Measurements. [Research Report] GIPSA-lab. 2012. ⟨hal-01232162⟩