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Sébastien Lefèvre
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Documents
Identifiants chercheurs
- sebastien-lefevre
- 0000-0002-2384-8202
- IdRef : 113437773
Présentation
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Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 2017, 55 (4), pp.2385-2398. ⟨10.1109/TGRS.2016.2642479⟩
Article dans une revue
hal-01447452v2
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PerTurbo manifold learning algorithm for weakly labelled hyperspectral image classificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, pp.1070-1078. ⟨10.1109/JSTARS.2014.2304304⟩
Article dans une revue
hal-00998258v1
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Unsupervised Classifier Selection Approach for Hyperspectral Image ClassificationIEEE International Geosciences and Remote Sensing Symposium (IGARSS), 2016, Beijing, China
Communication dans un congrès
hal-01320020v1
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A new penalisation term for image retrieval in clique neural networksEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2016, Bruges, Belgium
Communication dans un congrès
hal-01320024v1
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An end-member based ordering relation for the morphological description of hyperspectral imagesIEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France
Communication dans un congrès
hal-00998256v1
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Classwise hyperspectral image classification with PerTurbo methodIGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. pp.6883 - 6886, ⟨10.1109/IGARSS.2012.6352581⟩
Communication dans un congrès
hal-00706709v1
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A classwise supervised ordering approach for morphology based hyperspectral image classification21st International Conference on Pattern Recognition, 2012, Tsukuba, Japan. pp.WePSAT2.32
Communication dans un congrès
hal-00763490v1
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End-to-end Learning for Early Classification of Time Series2019
Pré-publication, Document de travail
hal-02174314v1
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