Deep neural networks for speech detection and speaker localization in reverberant environments

In order to study the effect of fine particulate matter on total mortality by season in 1995–1999, two alterna- tive Bayesian models were considered (see the Discus- sion),

 GNNs can approximate only the functions that preserve the unfolding equivalence: this result applies also to modern GNNs.  such a behaviour may not be

Montorsi, F.; Pancaldi, F.; Vitetta, G.; "Map-Aware RSS Localization Models and Algorithms Based on Experimental Data," Accepted for publication in IEEE International

To the best of our knowledge, some of the proposed mod- els are the first models trained and evaluated on the limited size GRID and TCD-TIMIT datasets that accomplish

Since the whole theory of unipotent automorphisms has been proved to be very fruitful in the case of vector spaces and modules, and since as a conse- quence of the previous

quebracho tannins in diet rich in linoleic acid on milk fatty acid composition in dairy ewes. Methods for dietary fibre, neutral

1959: Receptive fields of single neurones in the cat's striate cortex 1962: Receptive fields, binocular interaction and functional architecture in the cat's visual cortex

We show here how can we use machine learn- ing algorithm, in particular deep convolutional neural networks (CNNs), as a tool of inference of physical information on a system.