Name
Abstract | ||
|---|---|---|
The integration of GPS in smartphones, tablets and digital cameras become increasingly popular, but GPS receivers does not work well indoors. This malfunction can generate erroneous location information from where the picture was really taken, or no information at all. In order to overcome this problem, this paper proposes an automatic selection of techniques that couples different solutions to the problem from multiple regression. The focus of the work is to minimize the error generated by existing techniques with an automatic selection of techniques that uses Artificial Intelligence methods to automatically select the best technique. Also, we execute an experiment to validate the results achieved. After validation, the tests indicated that the proposed automatic selection technique improved the results in five of the six scenarios. In the sixth scenario the results were the same. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-12027-0_60 | ADVANCES IN ARTIFICIAL INTELLIGENCE (IBERAMIA 2014) |
Keywords | Field | DocType |
Geographic Location Propagation,Multimedia,Photographs Collection,Location Prediction,Multiple Linear Regression | Data mining,Digital photography,Location,Computer science,Global Positioning System,Location prediction | Conference |
Volume | ISSN | Citations |
8864 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 11 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davi Oliveira Serrano de Andrade | 1 | 0 | 1.01 |
| Savyo Igor da Nóbrega Santos | 2 | 0 | 0.34 |
| Hugo Feitosa de Figueirêdo | 3 | 0 | 0.34 |
| Cláudio de Souza Baptista | 4 | 133 | 31.73 |
| Joseana Macêdo Fechine Régis de Araújo | 5 | 0 | 1.01 |