Embedding metrics into constant-dimensional geometric spaces, such as the Euclidean plane, is relatively poorly understood. Motivated by applications in visualization, ad-hoc netw...
MohammadHossein Bateni, Mohammad Taghi Hajiaghayi,...
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
Network virtualization is a paradigm that allows for flexible and efficient allocation of the resources among multiple virtual networks (VNets). In this paper we deal with the p...
Guy Even, Moti Medina, Gregor Schaffrath, Stefan S...
We study the topological simplification of graphs via random embeddings, leading ultimately to a reduction of the Gupta-Newman-Rabinovich-Sinclair (GNRS) L1 embedding conjecture t...
We propose a technology mapping algorithm that takes existing structural technology-mapping algorithms based on dynamic programming [1,3,4] and extends them to retime pipelined cir...
Joel Grodstein, Eric Lehman, Heather Harkness, Her...