Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
—This paper aims to develop a novel framework to systematically trade-off computational complexity with output distortion in linear multimedia transforms, in an optimal manner. T...
Abstract— In this paper, we present a novel universal approach which consists in exploring statistics in the compressed frequency domain. This approach is motivated by two main c...
Johann Barbier, Eric Filiol, Kichenakoumar Mayoura
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
A space-time optimal power schedule for multiple distributed multiple-input multiple-output (MIMO) links without the knowledge of the instantaneous channel state information at th...
Yue Rong, Yingbo Hua, Ananthram Swami, A. Lee Swin...