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Conference Paper
V. Andrejchenko, Heylen, R., Scheunders, P., Philips, W., and Liao, W., Classification of hyperspectral images with very small training size using sparse unmixing, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 2016.
D. Iuso, Chatterjee, S., Heylen, R., Cornelissen, S., De Beenhouwer, J., and Sijbers, J., Analysis of the effectiveness of deeply supervised neural networks for defect segmentation in additive manufacturing, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , In Press.
R. Heylen, Scheunders, P., Zare, A., and Gader, P., Alternating angle minimization based unmixing with endmember variability, in IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 6974-6977, Beijing, July 10-15 , 2016.