The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
— Both fast scheduling and spatial signal processing have proven to be capacity-increasing methods in wireless communication systems. However, when applied in the downlink of a c...
Ralf Bendlin, Yih-Fang Huang, Michel T. Ivrlac, Jo...
In [1], Adaptive Prediction Error Coding (APEC) in spatial and frequency domain is proposed and significantly improves the coding efficiency of video coders. However, this approac...
Modeling on-chip inductive effects for interconnects of multigigahertz microprocessors remains challenging. SPICE simulation of these effects is very slow because of the large num...
Xiaoning Qi, Goetz Leonhardt, Daniel Flees, Xiao-D...
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...