This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem an...
— We propose Computational Sensor Networks as a methodology to exploit models of physical phenomena in order to better understand the structure of the sensor network. To do so, i...
Thomas C. Henderson, Christopher A. Sikorski, Edwa...
A trigger system in High Energy Physics Experiments (HEPE) has to decide, in few µs, if the data related to a nuclear event have to be stored or not. Normally, these data, are co...
We present a new segmentation algorithm based on probabilistic histograms and introduce certainty calculus and certainty color maps to solve the difficult problem of histogram sep...
In this paper we address some open questions on the recently proposed Zero-Error Density Maximization algorithm for MLP training. We propose a new version of the cost function tha...