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Fourth IEEE Workshop on Applications of Computer Vision (WACV'98)
Princeton, New Jersey
October 19-October 21
ISBN: 0-8186-8606-5
Justus H. Piater, University of Massachusetts
Adriana Mincheva, University of Massachusetts
We present an interactive paradigm for the construction of pixel classifiers. The user selects training pixels incrementally, based on real-time feedback from the classifier running in the background. Experiments show that this facilitates the construction of very small yet accurate decision tree classifiers. The framework is extensible in many ways. For example, we show how classifiers can be composed hierarchically and trained to find seagulls in aerial images.
Citation:
Justus H. Piater, Adriana Mincheva, "Building Pixel Classifiers using the Interactive Teacher/Learner (ITL) System," wacv, pp.252, Fourth IEEE Workshop on Applications of Computer Vision (WACV'98), 1998
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