Comparing Optimal Bounding Ellipsoid and Support Vector Machine Active Learning
Title | Comparing Optimal Bounding Ellipsoid and Support Vector Machine Active Learning |
Publication Type | Conference Proceedings |
Year of Conference | 2004 |
Authors | Gocken I, Joachim D, Deller JR |
Conference Name | 17th International Conference on Pattern Recognition |
Volume | 1 |
Pagination | 172-175 |
Date Published | 08/2004 |
Conference Location | Cambridge UK |
Abstract | In this paper we propose two active learning algorithms combining statistical active learning methods based on SVM and optimal bounding algorithms (OBE) of adaptive system identification. We unify SVM and OBE by demonstrating the similarities and representing SVM in an OBE interpretation. Samples are judiciously selected based on a volume measure provided by OBE using both simple heuristic and greedy optimal strategies. Preliminary experiments illustrate the effectiveness of the proposed algorithms as compared to similar methods. |
URL | http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334041 |