Name
Title | ||
|---|---|---|
A Tool Chain for a Lightweight, Robust and Uncertainty-based Context Classification System (CCS). |
Abstract | ||
|---|---|---|
In this paper we present a tool chain developed to support a Context Classification System (CCS). The CCS is especially designed to run even on lightweight commodity phones with a high detection rate and low calculation effort. The main design aspect considered while building the tool chain was the support for most common users and not only developers. Moreover, the CCS we are using proves to be a robust context recognition method, which supports the gain of both context classes and a fuzzy uncertainty value describing the confidence of their classification. |
Year | Venue | Field |
|---|---|---|
2010 | ARCS Workshops | Data mining,Simulation,Computer science |
DocType | ISBN | Citations |
Conference | 978-3-8007-3222-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henning Günther | 1 | 11 | 2.55 |
| Firas El Simrany | 2 | 0 | 0.34 |
| M. Berchtold | 3 | 128 | 11.96 |
| M. Beigl | 4 | 2034 | 311.09 |