We present a simple multiple view 3D model for object tracking and identification in camera networks. Our model is composed of 8 distinct views in the interval 0, 7 4 . Each of th...
— This paper investigates routing strategies for mobile and heterogeneous multi-hop wireless networks. We leverage the knowledge about users mobility to improve the efficiency o...
Leonardo Badia, Nicola Bui, Marco Miozzo, Michele ...
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
We envision that in some wireless sensor network applications, such as environmental monitoring, assisted living, and industrial control, handheld devices will be used from time t...
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...