— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
This work addresses the problem of efficient maintenance of the (correct) answers to the continuous spatio-temporal range queries in Moving Objects Databases (MOD), which represen...
Interpolation is a technique used to estimate the value of a function at a given location, assuming that the values of the function are known for surrounding locations. A Wireless...
Richard Tynan, David Marsh, Donal O'Kane, Gregory ...
Recently, various process calculi have been introduced which are suited for the modelling of mobile computation and in particular the mobility of program code; a prominent example ...