Abstract— We study the problem of registering local relative pose estimates to produce a global consistent trajectory of a moving robot. Traditionally, this problem has been stud...
We study efficient and robust implementations of an atomic read-write data structure over an asynchronous distributed message-passing system made of reader and writer processes, as...
Partha Dutta, Rachid Guerraoui, Ron R. Levy, Marko...
In many emerging applications, data streams are monitored in a network environment. Due to limited communication bandwidth and other resource constraints, a critical and practical...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
A methodology is described for synthesizing signal processing networks, which are used to solve a low-cost medical signal processing problem. The approach makes use of genetic alg...