It is now well established that the device scaling predicted by Moore’s Law is no longer a viable option for increasing the clock frequency of future uniprocessor systems at the...
Philippe Charles, Christian Grothoff, Vijay A. Sar...
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
We present three localized techniques for broadcasting in large scale ad hoc networks, i.e., for the problem of disseminating a message from a source node to all the nodes in the ...
Lorenzo Orecchia, Alessandro Panconesi, Chiara Pet...
Multivariate time series (MTS) datasets are common in various multimedia, medical and financial applications. We propose a similarity measure for MTS datasets, Eros (Extended Fro...
The Murϕ-based Hopper tool is a general purpose explicit model checker. Hopper leverages Murϕ’s class structure to implement new algorithms. Hopper differs from Murϕ in that i...