Parallelism Exploitation of a Dimensionality Reduction Algorithm Applied to Hyperspectral Images

Raquel Lazcano 1 Daniel Madroñal 1 Karol Desnos 2 Maxime Pelcat 3, 2 Raúl Guerra 4 Sebastián López 4 Eduardo Juarez 1 César Sanz 1
1 UPM - Universidad Politécnica de Madrid
2 IETR - Institut d'Electronique et de Télécommunications de Rennes
3 IP - Institut Pascal
4 ULPGC - University of Las Palmas de Gran Canaria
Document type :
Conference papers
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https://hal.archives-ouvertes.fr/hal-01415948
Contributor : Maxime Pelcat <>
Submitted on : Tuesday, December 13, 2016 - 5:46:25 PM
Last modification on : Tuesday, February 5, 2019 - 3:58:22 PM

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  • HAL Id : hal-01415948, version 1

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INSTITUT_PASCAL | IETR | UNIV-NANTES | UNIV-RENNES1 | SIGMA-CLERMONT | PRES_CLERMONT | IETR-INSA | UR1-UFR-ISTIC | IETR-VAADER | UNIV-RENNES | INSA-RENNES | INSA-GROUPE

Citation

Raquel Lazcano, Daniel Madroñal, Karol Desnos, Maxime Pelcat, Raúl Guerra, et al.. Parallelism Exploitation of a Dimensionality Reduction Algorithm Applied to Hyperspectral Images. Conference on Design and Architectures for Signal and Image Processing (DASIP), Oct 2016, Rennes, France. ⟨hal-01415948⟩

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