The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Sensing technology is a cornerstone for many industrial applications. Manufacturing plants and engineering facilities, such as shipboard engine rooms, require sensors to ensure pr...
Lakshman Krishnamurthy, Robert Adler, Philip Buona...
This paper describes shear-image order ray casting, a new method for volume rendering. This method renders sampled data in three dimensions with image quality equivalent to the be...
Yin Wu, Vishal Bhatia, Hugh C. Lauer, Larry Seiler
d Abstract) We extend the model of [VRV94] to express strong time-outs (and pre-emption): if an event A does not happen through time t, cause event B to happen at time t. Such con...
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...