— 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...
We present a method that preserves the recognizability of key object interactions in a vector animation. The method allows an artist to author an animation once, and then output i...
Vidya Setlur, Yingqing Xu, Xuejin Chen, Bruce Gooc...
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 ...