Publications

  • Imprimer

Revues à comité de lecture

  1. N. Courty, X. Gong, J. Vandel, T. Burger. SAGA: Sparse And Geometry-Aware non-negative matrix factorization through non-linear local embedding. Machine Learning, 97(1-2):205-226, 2014, (doi : 10.1007/s10994-014-5463-y).
  2. L. Chapel, T. Burger, N. Courty, S. Lefèvre. PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(4):1070-1078, 2014 (doi : 10.1109/JSTARS.2014.2304304).
  3. M. Fauvel, C. Dechesne, A. Zullo, F. Ferraty. Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, à paraître (doi : 10.1109/JSTARS.2015.2441771).

Communications (conférence)

  1. F. Merciol, L. Chapel, S. Lefèvre. Hyperspectral Image Representation through alpha-Trees. ESA Conference on Image Information Mining : Geospatial Intelligence from Earth Observation (IIM), pages 37–40, Bucarest, Mars 2014 (doi : 10.2788/25852).
  2. M. Fauvel, A. Zullo, F. Ferraty. Nonlinear Parsimonious Feature Selection for the Classification of Hyperspectral Images. Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), Lausanne, Juin 2014.
  3. S. Lefèvre, L. Chapel, F. Merciol. Hyperspectral Image Classification from Multiscale Description with Constrained Connectivity and Metric Learning. Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), Lausanne, Juin 2014.
  4. L. Courtrai, S. Lefèvre. Road Network Extraction from Remote Sensing using Region-based Mathematical Morphology. IAPR International Workshop on Pattern Recognition in Remote Sensing (PRRS), Stockholm, Août 2014 (doi : 10.1109/PRRS.2014.6914283).
  5. L. Chapel, C. Friguet, Anomaly detection with score functions based on the reconstruction error of the kernel PCA. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Springer Lecture Notes in Computer Science, 8724:2227-241, Nancy, Septembre 2014 (doi : 10.1007/978-3-662-44848-9_15).
  6. N. Courty, R. Flamary, D. Tuia. Domain adaptation with regularized optimal transport. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Springer Lecture Notes in Computer Science, 8724:274-289, Nancy, Septembre 2014 (doi : 10.1007/978-3-662-44848-9_18).
  7. E. Aptoula, N. Courty S. Lefèvre. An end-member based ordering relation for the morphological description of hyperspectral images. IEEE International Conference on Image Processing (ICIP), pages 5097-5101, Paris, Octobre 2014 (doi : 10.1109/ICIP.2014.7026032).
  8. Y. Cui, L. Chapel, S. Lefèvre. A subpath kernel for learning hierarchical image representations. IAPR International Workshop on Graph-based Representations in Pattern Recognition (GbR), Springer Lecture Notes in Computer Science, 9069:34-43, Pékin, Mai 2015 (doi : 10.1007/978-3-319-18224-7_4).
  9. F. Merciol, S. Lefèvre. Fast building extraction by multiscale analysis of digital surface models. IEEE International Geosciences and Remote Sensing 
Symposium (IGARSS), Milan, Juillet 2015, à paraître.
  10. A. Bailly, S. Malinowski, R. Tavenard, T. Guyet, L. Chapel. Bag-of-Temporal-SIFT-Words for Time Series Classification. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Porto, Septembre 2015, à paraître.