Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
The (k, r)-center problem asks whether an input graph G has ≤ k vertices (called centers) such that every vertex of G is within distance ≤ r from some center. In this paper we ...
Erik D. Demaine, Fedor V. Fomin, Mohammad Taghi Ha...
Continued device scaling enables microprocessors and other systems-on-chip (SoCs) to increase their performance, functionality, and hence, complexity. Simultaneously, relentless s...
Clustering is a common technique to overcome the wire delay problem incurred by the evolution of technology. Fully-distributed architectures, where the register file, the functio...