Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Most similarity search techniques map the data objects into some high-dimensional feature space. The similarity search then corresponds to a nearest-neighbor search in the feature...
This paper proposes a computationally efficient approach for estimating camera motion based on a voting mechanism that neither relies on explicit feature matching nor RANSAC. In t...
Mauricio Soto Alvarez, Stefano Maludrottu, Carlo S...
—Wireless ad hoc radio networks have gained a lot of attention in recent years. We consider geometric networks, where nodes are located in a euclidean plane. We assume that each ...
In this paper, we introduce EXACT, the EXperimental Algorithmics Computational Toolkit. EXACT is a software framework for describing, controlling, and analyzing computer experimen...
William E. Hart, Jonathan W. Berry, Robert T. Heap...