In this paper, we study the problem of recognizing an unknown probability density function from one of its sample which is of interest in signal and image processing or telecommun...
Guilhem Coq, X. Li, Olivier Alata, Y. Pousset, Chr...
Abstract-- Channel estimation for frequency-selective timevarying channels is considered using superimposed training. We employ a discrete prolate spheroidal basis expansion model ...
—On a stream of two dimensional data items (x, y) where x is an item identifier, and y is a numerical attribute, a correlated aggregate query requires us to first apply a selec...
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. While complex matchings ...