353 citations
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7 papers · 1 filter
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles, Liang Chen, Ricardo Guerrero +7
One of the biggest issues facing the use of machine learning in medical imaging is the lack of availability of large, labelled datasets. The annotation of medical images is not onl…
Centralized and distributed schedulers for non-coherent joint transmission
Shangbin Wu, Yinan Qi
This paper studies the performance of three typical network coordination schemes, i.e., dynamic point selection, fully overlapped non-coherent joint transmission (F-NCJT), and nonf…
Multichannel Design of Non uniform Constellations for Broadcast/Multicast Services
Belkacem Mouhouche, Mohammed Al-Imari, Daniel Ansorregui
Recent studies have shown the potential performance gain of Non Uniform Constellations (NUC) compared to the conventional uniform constellations. NUC can be a promising candidate i…
Attention-based Ensemble for Deep Metric Learning
Wonsik Kim, Bhavya Goyal, Kunal Chawla +2
Deep metric learning aims to learn an embedding function, modeled as deep neural network. This embedding function usually puts semantically similar images close while dissimilar im…
Massive Multiple Input Massive Multiple Output for 5G Wireless Backhauling
Dinh-Thuy Phan-Huy, Philippe Ratajczak, Raffaele D'Errico +10
In this paper, we propose a new technique for the future fifth generation cellular network wireless backhauling. We show that hundreds of bits per second per Hertz (bits per second…
Interference Management via Space and Frequency Domain Resource Partitioning
Yinan Qi, David M. Gutierrez-Estevez, Mehrdad Shariat +2
One key requirement for the fifth-Generation (5G) mobile system is the enhancement of cell edge user performance to ensure that every user is supported with consistent experience a…