LTS4 - Signal Processing Laboratory 4
14:37Seismic Simultaneous Source Separation via Patchwise Sparse Representation, in IEEE Transactions On Geoscience And Remote Sensing, vol. 54, num. 9, p. 5271-5284, 2016.
19:42Robustness of classifiers: from adversarial to random noise. 30th Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, December 5-10, 2016.
23:36Learning from sparse codes. IEEE International Conference on Image Processing, September 25-28, 2016.
09:16Measuring the effect of nuisance variables on classifiers. British Machine Vision Conference (BMVC), York, UK, September 19-22, 2016.
16:42Finite Length Performance of Random Slotted ALOHA Strategies, submitted to IEEE Signal Processing Letters, 2016.
12:18Adaptive data augmentation for image classification. IEEE International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, September 25-28.
22:31A Comparative Study of DASH Representation Sets Using Real User Characteristics. ACM MMSys, Klagenfurt, Austria, May 2016.
22:27Online Learning Adaptation Strategy for DASH Clients. ACM MMSys, Klagenfurt, Austria, May 2016.
12:29DeepFool: a simple and accurate method to fool deep neural networks. IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, 2016.
10:07Graph Signal Processing: Sparse Representation and Applications. Thèse EPFL, n° 6925 (2016)