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Conference papers
Semi-supervised learning using a graph-based phase field model for imbalanced data set classification
Aymen El Ghoul
Hichem Sahbi
1, 2
1
IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
Aymen El Ghoul
Author
Hichem Sahbi 1, 2
Author
1
IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse (46 rue Barrault
75013 Paris - France)
- LTCI - Laboratoire Traitement et Communication de l'Information (46 rue Barrault F-75634 Paris Cedex 13 - France)
- Télécom ParisTech (46 rue Barrault 75634 Paris Cedex 13 - France)
- IMT - Institut Mines-Télécom [Paris] (37-39 Rue Dareau, 75014 Paris - France)
2
TSI - Département Traitement du Signal et des Images (46, rue Barrault 75013 PARIS - France)
- Télécom ParisTech (46 rue Barrault 75634 Paris Cedex 13 - France)
- CNRS - Centre National de la Recherche Scientifique : UMR5141 (France)
Document type :
Conference papers
Complete list of metadatas
https://hal.telecom-paris.fr/hal-02412107
Contributor : Telecomparis Hal <>
Submitted on : Sunday, December 15, 2019 - 12:45:53 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:55 PM
Contributor : Telecomparis Hal <>
Submitted on : Sunday, December 15, 2019 - 12:45:53 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:55 PM
Identifiers
- HAL Id : hal-02412107, version 1
Citation
Aymen El Ghoul, Hichem Sahbi. Semi-supervised learning using a graph-based phase field model for imbalanced data set classification. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. ⟨hal-02412107⟩
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