Machine Learning for Adaptive Image Interpretation

Abstract

Automated image interpretation is an important task with numerous applications. Until recently, designing such systems required extensive subject matter and computer vision expertise resulting in poor cross-domain portability and expensive maintenance. Recently, a machine-learned system (ADORE) was successfully applied in an aerial image interpretation… (More)

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Cite this paper

@inproceedings{Levner2004MachineLF, title={Machine Learning for Adaptive Image Interpretation}, author={Ilya Levner and Vadim Bulitko}, booktitle={AAAI}, year={2004} }