Adaptive Coded Aperture Design by Motion Estimation using Convolutional Sparse Coding in Compressive Spectral Video Sensing

Autor: Henry Arguello, C. Noriega-Wandurraga, Adrian Basarab, Jean-Yves Tourneret, Nelson Diaz

Publikováno v: 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2019, Le Gosier, Guadeloupe. pp.445-449, ⟨10.1109/CAMSAP45676.2019.9022649⟩
CAMSAP

International audience; This paper proposes a new motion estimation method based on convolutional sparse coding to adaptively design the colored-coded apertures in static and dynamic spectral videos. The motion in a spectral video is estimated from a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5961f49ef5ae47b5da6c44f1b279b955
https://oatao.univ-toulouse.fr/26272/

Cardiac Motion Estimation Using Convolutional Sparse Coding

Autor: Adrian Basarab, Henry Arguello Fuentes, Jean-Yves Tourneret, Nelson Diaz

Publikováno v: Proceedings of EUPSICO 2019
27th European Signal Processing Conference (EUSIPCO 2019)
27th European Signal Processing Conference (EUSIPCO 2019), Sep 2019, A Coruña, Spain. pp.1-5, ⟨10.23919/EUSIPCO.2019.8903163⟩
EUSIPCO

International audience; This paper studies a new motion estimation method based on convolutional sparse coding. The motion estimation problem is formulated as the minimization of a cost function composed of a data fidelity term, a spatial smoothness

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::423150a3487cae616f9695941c163ece
https://hal.archives-ouvertes.fr/hal-02887700/document

Spectral image fusion from compressive measurements

Autor: Edwin Vargas, Oscar Espitia, Jean-Yves Tourneret, Henry Arguello

Publikováno v: IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2019, 28 (5), pp.2271-2282. ⟨10.1109/TIP.2018.2884081⟩

International audience; Compressive spectral imagers reduce the number of sampled pixels by coding and combining the spectral information. However, sampling compressed information with simultaneous high spatial and high spectral resolution demands ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c48821718ba1b9b4b43e58d0b620761
https://oatao.univ-toulouse.fr/21908/

A GHEP-ISFG collaborative study on the genetic variation of 38 autosomal indels for human identification in different continental populations

Autor: Iva Gomes, Gustavo Penacino, G. Burgos, E. González, Sean Davison, António Amorim, Teresa Ribeiro, L.F. Jobim, Juan José Builes, Sandra Furfuro, A. Gonzalez-Liñan, A. Sala, L. Rubio, Carlos Martín Restrepo, M. Aler, C. Vilela-Lamego, Maria João Porto, David Parra, P. Brito, E. Betancor, Adriana Castillo, P. Coufalova, Maria Eugenia D’Amato, Q. Huang, M.L.J. Bravo, M.F. Pinheiro, Ana María López-Parra, Oscar Garcia, Gabriela Martínez-Cortés, A. Torres, Rui Pedro Gomes Pereira, Theresa E. Gross, V. Masciovecchio, S. Jiménez, Danilo Faustino Braganholi, J.F. Ferragut, Leonor Gusmão, L. Souto, A. Gaviria, Marcos F. Fondevila, L.S. Solís, Miguel Marino, Juan J. Yunis, Ana Santurtún, Regina Maria Barretto Cicarelli, Paulo Dario, Cecilia Inés Catanesi, Y. Posada, A. Hernández, Iñaki Yurrebaso, Elizeu Fagundes de Carvalho, Sofia L. Marques, Célia Alves, C. Arévalo, E. Streitemberger

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
FORENSIC SCIENCE INTERNATIONAL-GENETICS
r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante
instname
Forensic Science International: Genetics Volume 32, January 2018, Pages 18-25
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

A collaborative effort was carried out by the Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics (GHEP-ISFG) to promote knowledge exchange between associate laboratories interested in the implementation o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63f62922ceed0dc3725c7504e20b2f25
https://www.fsigenetics.com/article/S1872-4973(17)30200-4/fulltext

Estimación de propiedades mecánicas de roca utilizando inteligencia artificial

Autor: Galvis, Laura Viviana, Augusto Ochoa, César, Arguello Fuentes, Henry, Carvajal Jiménez, Jenny Mabel, Calderón Carrillo, Zuly Himelda

Publikováno v: Ingeniería y Ciencia; Vol 7, No 14 (2011)
Repositorio EAFIT
Universidad EAFIT
instacron:Universidad EAFIT
Repositorio Institucional Universidad EAFIT

This article presents the way two artificial intelligence techniques, neural networks and genetic algorithms were combined, for the development of a computational tool used to estimate mechanical properties such as tensile strength, uniaxial compress

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::97e47a0dc9bc13d1b29c524a0fffa103