Many computation-intensive iterative or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graph...
This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum lev...
Abstract—By accurately measuring risk for enterprise networks, attack graphs allow network defenders to understand the most critical threats and select the most effective counter...
Kyle Ingols, Matthew Chu, Richard Lippmann, Seth E...
This paper proposes a parameterized algorithm for aligning two protein structures, in the case where one protein structure is represented by a contact map graph and the other by a ...
The Maximum Common Subgraph (MCS) problem appears in many guises and in a wide variety of applications. The usual goal is to take as inputs two graphs, of order m and n, respectiv...
W. Henry Suters, Faisal N. Abu-Khzam, Yun Zhang, C...