Search Results - Drumetz, L.

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  1. 1
    Learning Variational Data Assimilation Models and Solvers

    Learning Variational Data Assimilation Models and Solvers by Fablet, R., Chapron, B., Drumetz, L., Mémin, E., Pannekoucke, O., Rousseau, F.

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  2. 2
    Learning latent dynamics for partially observed chaotic systems

    Learning latent dynamics for partially observed chaotic systems by Ouala, S., Nguyen, D., Drumetz, L., Chapron, B., Pascual, A., Collard, F., Gaultier, L., Fablet, R.

    Published in Chaos (Woodbury, N.Y.)
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  3. 3
    End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems

    End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems by Fablet, R., Drumetz, L., Rousseau, F.

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  4. 4
    Improving Classification Accuracy With Graph Filtering

    Improving Classification Accuracy With Graph Filtering by Hamidouche, M., Lassance, C., Hu, Y., Drumetz, L., Pasdeloup, B., Gripon, V.

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  5. 5
    Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing

    Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing by Drumetz, L., Chanussot, J., Iwasaki, A.

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  6. 6
    Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features

    Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features by Fablet, R., Le Sommer, J., Molines, J. M., Drumetz, L., Rousseau, F., Chapron, B.

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  7. 7
    Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression

    Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression by Drumetz, L., Tochon, G., Veganzones, M. A., Chanussot, J., Jutten, C.

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  8. 8
    Robust linear unmixing with enhanced sparsity

    Robust linear unmixing with enhanced sparsity by Tiard, A., Condat, L., Drumetz, L., Chanussot, J., Yin, W., Zhu, X.

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  9. 9
    Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms

    Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms by Drumetz, Lucas, Meyer, Travis R., Chanussot, Jocelyn, Bertozzi, Andrea L., Jutten, Christian

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  10. 10
    Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization

    Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization by Qin, Jing, Lee, Harlin, Chi, Jocelyn T., Drumetz, Lucas, Chanussot, Jocelyn, Lou, Yifei, Bertozzi, Andrea L.

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  11. 11
    Hyperspectral unmixing with material variability using social sparsity

    Hyperspectral unmixing with material variability using social sparsity by Meyer, Travis R., Drumetz, Lucas, Chanussot, Jocelyn, Bertozzi, Andrea L., Jutten, Christian

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  12. 12
    Hyperspectral Image Unmixing with Endmember Bundles and Group Sparsity Inducing Mixed Norms

    Hyperspectral Image Unmixing with Endmember Bundles and Group Sparsity Inducing Mixed Norms by Lucas Drumetz, Meyer, Travis R, Chanussot, Jocelyn, Bertozzi, Andrea L, Jutten, Christian

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  13. 13
    De quelques usages pédagogiques des sciences de l'éducation

    De quelques usages pédagogiques des sciences de l'éducation by Etévé, Christiane, BINSSE, Thérèse, BROUAUX, Emmanuelle, Bourgeois, Yvette, DOUIEB EL ATTAFI, Abdellatif, DOOMS, Chantal, DUCHAN, Francis, DUPIRE, Marc, DRUMETZ, Jean-Claude, HANNEBIQUE, Anne, Leroy, Jean-Pierre, MACOU, Madeleine, Moreau, Marc, COGNET, Sylviane, VANHECKE-DUGEZ, M, LEQUEUX, Claudine, DENORME, Eliane, KUREK, Léo, POUILLARD, Catherine, HOUDI ELGAH, Naziha, Hédoux, Jacques

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