Výsledky vyhledávání - "Rodrigo Cabral Farias"

Distortion Approximation of a Compressed Softmax Layer

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

Publikováno v: SSP

Deep neural networks need to be compressed due to their high memory requirements and computational complexity. Numerous compression methods have been proposed to solve this issue, but we still do not fully understand how the compression error will im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::882a55e8f2be6db6a45215f123891454
https://doi.org/10.1109/ssp49050.2021.9513733

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Robust sensor placement for signal extraction

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

Publikováno v: IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, 69, pp.4513-4528. ⟨10.1109/TSP.2021.3099954⟩

This paper proposes an efficient algorithm for robust sensor placement with the purpose of recovering a source signal from noisy measurements. To model uncertainty on the spatially-variant sensors gain and on the spatially correlated noise, we assume

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ef7a3617df52966fc341a57a7df312d
https://hal.univ-grenoble-alpes.fr/hal-03325710

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Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement

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

Publikováno v: ICASSP
ICASSP 2020-IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP 2020-IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, May 2020, Barcelone (virtual), Spain. pp.5655-5659, ⟨10.1109/ICASSP40776.2020.9054510⟩

International audience; In this paper, we are interested in optimal sensor placement for signal extraction. Recently, a new criterion based on output signal to noise ratio has been proposed for sensor placement. However, to solve the optimization pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a78e5a24ccc298cc54776de2454268
https://doi.org/10.1109/icassp40776.2020.9054510

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Alternating group lasso for block-term tensor decomposition with application to ECG source separation

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

Publikováno v: IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2020, 68, pp.2682-2696. ⟨10.1109/TSP.2020.2985591⟩

International audience; In some applications, blind source separation can be performed by computing an approximate block-term tensor decomposition (BTD), under much milder constraints than matrix-based techniques. However, choosing the BTD model stru

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15fd8900e3fed20a91207367024ebcf5
https://hal.archives-ouvertes.fr/hal-01899469v3/document

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Incremental construction of nested designs based on two-level fractional factorial designs

Autor: Rodrigo Cabral Farias, Luc Pronzato, Maria João Rendas

Publikováno v: HAL

The incremental construction of nested designs having good spreading properties over the d-dimensional hypercube is considered, for values of d such that the 2 d vertices of the hypercube are too numerous to be all inspected. A greedy algorithm is us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::60e138d0e1fccef37a50357d98c806f6
https://hal.science/hal-02483004

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Optimal sensor placement for signal extraction

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

Publikováno v: ICASSP 2019-IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP 2019-IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom
ICASSP

International audience; This paper focuses on the optimal sensor placement problem with the purpose of signal extraction in an underdetermined noisy setting. Assuming prior information on the spatial gain of the measured signal and on the spatial noi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86be225a20314ba215afa3533f4e87ec
https://hal.archives-ouvertes.fr/hal-03078439/file/Template.pdf

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Coherence Constrained Alternating Least Squares

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

Publikováno v: EUSIPCO
EUSIPCO 2018-26th European Signal Processing Conference
EUSIPCO 2018-26th European Signal Processing Conference, Sep 2018, Rome, Italy. ⟨10.23919/EUSIPCO.2018.8553084⟩

International audience; In this paper we present a modification of alternating least squares (ALS) for tensor canonical polyadic approximation that takes into account mutual coherence constraints. The proposed algorithm can be used to ensure well-pos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c7fcf495da7caed32ffd1a09bcb0ef
https://doi.org/10.23919/eusipco.2018.8553084

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