The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors

@article{Bhm2006TheGE,
  title={The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors},
  author={Christian B{\"o}hm and Alexey Pryakhin and Matthias Schubert},
  journal={22nd International Conference on Data Engineering (ICDE'06)},
  year={2006},
  pages={9-9}
}
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying measuring techniques or environmental circumstances. Since these circumstances are not necessarily the same when determining the features for different individuals, the exactness might strongly vary between the individuals as well as between the features. To identify individuals, similarity search on feature vectors is… CONTINUE READING
Highly Cited
This paper has 217 citations. REVIEW CITATIONS
81 Citations
15 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 81 extracted citations

217 Citations

02040'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 217 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…