In order to achieve reliable communication with a high data rate of massive multiple-input multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated channel state information (CSI) at the receiver needs to be fed back to the transmitter.
In this paper, we propose an ensemble model called AdaGCN, which uses a Graph Convolutional Network (GCN) as the base estimator during adaptive boosting.
Simulation results show that the dereverberation and noise reduction performance of a single-task DNN trained to directly estimate the Wiener gain is higher than the performance of single-task DNNs trained to estimate the desired signal magnitude, the interference power spectral density, or the signal-to-interference ratio.
We consider the problem of unsupervised domain adaptation for image classification.
The margin-based softmax loss functions greatly enhance intra-class compactness and perform well on the tasks of face recognition and object classification.
no code implementations • 13 Sep 2017 • M. Bilicki, H. Hoekstra, M. J. I. Brown, V. Amaro, C. Blake, S. Cavuoti, J. T. A. de Jong, C. Georgiou, H. Hildebrandt, C. Wolf, A. Amon, M. Brescia, S. Brough, M. V. Costa-Duarte, T. Erben, K. Glazebrook, A. Grado, C. Heymans, T. Jarrett, S. Joudaki, K. Kuijken, G. Longo, N. Napolitano, D. Parkinson, C. Vellucci, G. A. Verdoes Kleijn, L. Wang
The second dataset, optimized for low-redshift studies such as galaxy-galaxy lensing, is limited to r<20, and provides photo-zs of much better quality than in the full-depth case thanks to incorporating optical magnitudes, colours, and sizes in the GAMA-calibrated photo-z derivation.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
It is difficult to reconcile the geometry of the deeper ejecta with a jet driven explosion, but the high ejecta velocities of SN 2014ad are typical of those observed in SNe Ic-bl with GRBs, and the behaviour of the oxygen and calcium line-forming regions is consistent with fully jet-driven models.
High Energy Astrophysical Phenomena
no code implementations • 14 Sep 2016 • V. Abrol, O. Absil, P. -A. Absil, S. Anthoine, P. Antoine, T. Arildsen, N. Bertin, F. Bleichrodt, J. Bobin, A. Bol, A. Bonnefoy, F. Caltagirone, V. Cambareri, C. Chenot, V. Crnojević, M. Daňková, K. Degraux, J. Eisert, J. M. Fadili, M. Gabrié, N. Gac, D. Giacobello, A. Gonzalez, C. A. Gomez Gonzalez, A. González, P. -Y. Gousenbourger, M. Græsbøll Christensen, R. Gribonval, S. Guérit, S. Huang, P. Irofti, L. Jacques, U. S. Kamilov, S. Kiticć, M. Kliesch, F. Krzakala, J. A. Lee, W. Liao, T. Lindstrøm Jensen, A. Manoel, H. Mansour, A. Mohammad-Djafari, A. Moshtaghpour, F. Ngolè, B. Pairet, M. Panić, G. Peyré, A. Pižurica, P. Rajmic, M. Roblin, I. Roth, A. K. Sao, P. Sharma, J. -L. Starck, E. W. Tramel, T. van Waterschoot, D. Vukobratovic, L. Wang, B. Wirth, G. Wunder, H. Zhang
The third edition of the "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) took place in Aalborg, the 4th largest city in Denmark situated beautifully in the northern part of the country, from the 24th to 26th of August 2016.