Improving an Adaptive Image Interpretation System by Leveraging

@inproceedings{Li2003ImprovingAA,
  title={Improving an Adaptive Image Interpretation System by Leveraging},
  author={Lihong Li and V. Bulitko and Russell Greiner and Ilya Levner},
  year={2003}
}
Automated image interpretation is an important task in numerous applications ranging from security systems to natural resource inventorization based on remote-sensing. Recently, a second generation of adaptive machine-learned image interpretation system (ADORE) has shown expertlevel performance in several challenging domains. Its extension, MR ADORE, aims at removing the last vestiges of human intervention still present in the original design of ADORE. Both systems treat the image… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS
15 Citations
24 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 24 references

ResLev: A leveraging method for regression

  • L. Li
  • Technical report, Department of Computing Science…
  • 2003
Highly Influential
3 Excerpts

An introduction to boosting and leveraging

  • R. Meir, G. Räsch
  • Advanced Lectures on Machine Learning,
  • 2003
2 Excerpts

Similar Papers

Loading similar papers…