Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
The incorporation of last-generation sensors to airborne and satellite platforms is currently producing a nearly continual stream of high-dimensional data, and this explosion in t...
This paper presents Olympus, a modular processing architecture for a distributed ambient intelligence. The system is aimed at detailed reporting of people wandering and gesturing ...
F. Bertamini, Roberto Brunelli, Oswald Lanz, A. Ro...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
The problem of global state observation is fundamental to distributed systems and to the analysis of data streams. Many interactions in distributed systems can be analyzed in term...