Two new publications have been accepted recently:

  1. Machine Learning Methods for the Inversion of Hyperspectral Images: It has been finally accepted, a quite old job but with some interesting results. The pdf is available here.
  2. Large-scale feature selection with Gaussian mixture models for the classification of high dimensional remote sensing images: I have already discussed about this work and its implementation, see my previous post. Now it is accepted in IEEE Transactions on Computational Imaging. The pdf is available here. This work has been funded by the ANR ASTERIX, lead by Prof. S. Lefevre from IRISA.


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