In many important problems, one uses the median instead of the mean to estimate a population's center, since the former is more robust. But in general, computing the median i...
We consider the problem of Scheduling n Independent Jobs on m Unrelated Parallel Machines, when the number of machines m is xed. We address the standard problem of minimizing the ...
Abstract-- We consider the Top-k Approximate Subtree Matching (TASM) problem: finding the k best matches of a small query tree, e.g., a DBLP article with 15 nodes, in a large docum...
Nikolaus Augsten, Denilson Barbosa, Michael H. B&o...
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Abstract. We propose a distributed scheme called Adaptive-GroupMerge for sensor networks that, given a parameter k, approximates a geometric shape by a k-vertex polygon. The algori...
Chiranjeeb Buragohain, Sorabh Gandhi, John Hershbe...