Zobrazeno 1 - 10 of 100 pro vyhledávání: '"Claude Berrou"'
1
Akademický článek
Turbo codes and turbo algorithms
Autor: Claude Berrou, Charlotte Langlais, Yi Yu
Publikováno v: Journal of Communications Software and Systems, Vol 2, Iss 3, Pp 179-190 (2006)
In the first part of this paper, several basic ideas that prompted the coming of turbo codes are commented on. We then present some personal points of view on the main advances obtained in past years on turbo coding and decoding such as the circular
Externí odkaz: https://doaj.org/article/31159384bf5142f1a5582f0a1888ab03
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2
Akademický článek
EEG source connectivity analysis: from dense array recordings to brain networks.
Autor: Mahmoud Hassan, Olivier Dufor, Isabelle Merlet, Claude Berrou, Fabrice Wendling
Publikováno v: PLoS ONE, Vol 9, Iss 8, p e105041 (2014)
The recent past years have seen a noticeable increase of interest for electroencephalography (EEG) to analyze functional connectivity through brain sources reconstructed from scalp signals. Although considerable advances have been done both on the re
Externí odkaz: https://doaj.org/article/d94e1ebe951a4d09b2dc56069324dbb6
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4
Machine learning for explaining and ranking the most influential matters of law
Autor: Thomas Baduel, Claude Berrou, Maxime Roodnejad, Tommaso Bianco, Max Raphael Sobroza Marques
Publikováno v: ICAIL
In this work, we propose a novel method in order to rank the most relevant legal principle citations in law-cases to support a certain motion. The first score relies on feature importance metrics, where each law article is a feature supplied to a cla
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::218c63a1c4462eda332c23331a698953
https://doi.org/10.1145/3322640.3326734
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5
25 Years of Turbo Codes: From Mb/s to beyond 100 Gb/s
Autor: Charbel Abdel Nour, Stefan Weithoffer, Catherine Douillard, Norbert Wehn, Claude Berrou
Publikováno v: 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC)
ISTC
International audience; In this paper, we demonstrate how the development of parallel hardware architectures for turbo decoding can be continued to achieve a throughput of more than 100 Gb/s. A new, fully pipelined architecture shows better error cor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8cf549fb191101cc127162755f3bd0d
https://hal-imt-atlantique.archives-ouvertes.fr/hal-01869012
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6
Distributed coding and synaptic pruning
Autor: Vincent Gripon, Claude Berrou, Eliott Coyac, Charlotte Langlais
Publikováno v: Proceedings ISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing
ISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing
ISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, Sep 2016, Brest, France. Proceedings ISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, pp.206-210, 2016
ISTC
ISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, Sep 2016, Brest, France. pp.206-210
International audience; This paper deals with the modelization of synaptic pruning in the developing brain, at the informational level. Relying on the hypotheses of clique-based memory and Hebbian learning, we consider several scenarios to try to und
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::047c9f617db6152402d06ff7f350da42
https://hal.archives-ouvertes.fr/hal-01374130
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7
Assembly output codes for learning neural networks
Autor: Vincent Gripon, Philippe Tigreat, Claude Berrou, Carlos Lassance, Xiaoran Jiang
Publikováno v: Turbo Codes and Iterative Information Processing (ISTC), 2016 9th International Symposium on
ISTC 2016-9th International Symposium on Turbo Codes & Iterative Information Processing
ISTC 2016-9th International Symposium on Turbo Codes & Iterative Information Processing, Sep 2016, Brest, France. pp.285-289, ⟨10.1109/ISTC.2016.7593122⟩
ISTC
ISTC 2016-9th International Symposium on Turbo Codes & Iterative Information Processing, Sep 2016, Brest, France. IEEE, Turbo Codes and Iterative Information Processing (ISTC), 2016 9th International Symposium on, pp.285-289, 2016, 〈10.1109/ISTC.2016.7593122〉
International audience; Neural network-based classifiers usually encode the class labels of input data via a completely disjoint code, i.e. a binary vector with only one bit associated with each category. We use coding theory to propose assembly code
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a15f116c41c32803856df7142ea43b7e
https://hal.archives-ouvertes.fr/hal-01502488
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8
Improving the distance properties of turbo codes using a third component code: 3D turbo codes - [transactions letters
Autor: Yannick Saouter, Claude Berrou, A. Graell i Amat, Y. Ould-Cheikh-Mouhamedou
Publikováno v: IEEE Transactions on Communications. 57:2505-2509
Thanks to the probabilistic message passing performed between its component decoders, a turbo decoder is able to provide strong error correction close to the theoretical limit. However, the minimum Hamming distance (dmin) of a turbo code may not be s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff87b873c4558d4af2832c1a12e8e8a8
https://doi.org/10.1109/tcomm.2009.09.070521
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9
Special Issue on Turbo-Information Processing: Algorithms, Implementations & Applications
Autor: Christian Schlegel, Joachim Hagenauer, Luc Vandendorpe, Marco Luise, Claude Berrou
Publikováno v: Proceedings of the IEEE. 95:1146-1149
The six articles in this special issue focus on turbo-information processing. The issue describes a variety of concepts and practical solutions for designing and decoding turbo codes, and provides a snapshot of research.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e7ffd02a2a710abd0ae2a8ad1f86726
https://doi.org/10.1109/jproc.2007.896520
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10
A connectionist model of reading with error correction properties
Autor: Max Raphael Sobroza Marques, Olivier Dufor, Xiaoran Jiang, Claude Berrou, Deok-Hee Kim-Dufor
Publikováno v: Proceedings LTC 2015 : 7th Language and Technology Conference
LTC 2015 : 7th Language and Technology Conference
LTC 2015 : 7th Language and Technology Conference, Nov 2015, Poznan, Poland. pp.455-460
LTC 2015 : 7th Language and Technology Conference, Nov 2015, Poznan, Poland. Proceedings LTC 2015 : 7th Language and Technology Conference, pp.455-460, 2015
Human Language Technology. Challenges for Computer Science and Linguistics ISBN: 9783319937816
LTC
International audience; Recent models of associative long term memory (LTM) have emerged in the field of neuro-inspired computing. These models have interesting properties of error correction, robustness, storage capacity and retrieval performance. I
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c534b2f081b2ba47b026b3529002b6a3
https://hal.archives-ouvertes.fr/hal-01311631
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