We assess the current state of the art in speech summarization, by comparing a typical summarizer on two different domains: lecture data and the SWITCHBOARD corpus. Our results ca...
— A number of large-scale distributed Internet applications could potentially benefit from some level of knowledge about the relative proximity between its participating host no...
Sylvia Ratnasamy, Mark Handley, Richard M. Karp, S...
Background: Analysis of data from high-throughput experiments depends on the availability of well-structured data that describe the assayed biomolecules. Procedures for obtaining ...
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
In this work, we investigate the use of directional antennas and beam steering techniques to improve performance of 802.11 links in the context of communication between a moving v...