Name
Abstract | ||
|---|---|---|
The authors present Genetic Algorithm Based Representation Transformation (GABRET), the system they created to transform feature spaces to improve classification techniques. Depending on the problem, the system applies either a feature-selection or ýconstruction module to search the problem space and improve the recognition rate. Both methods are based on genetic algorithms that use an evaluation function as feedback to guide the search. The authors test this method on an eye-detection face recognition system, demonstrating substantially better classification rates than competing systems. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/5254.671093 | Intelligent Systems and their Applications, IEEE |
Keywords | Field | DocType |
eye,face recognition,feature extraction,genetic algorithms,image classification,software performance evaluation,autonomous system,classification rates,eye detection,face recognition system,feature space transformation,genetic algorithms,performance | Facial recognition system,Feature vector,Pattern recognition,Feature selection,Computer science,Image processing,Feature extraction,Autonomous system (mathematics),Artificial intelligence,Contextual image classification,Machine learning,Genetic algorithm | Journal |
Volume | Issue | ISSN |
13 | 2 | 1094-7167 |
Citations | PageRank | References |
41 | 2.32 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haleh Vafaie | 1 | 312 | 52.81 |
| Kenneth De Jong | 2 | 3798 | 525.78 |