Experiments in Constructing Belief Networks for Image Classification Systems
نویسندگان
چکیده
We present procedures and experimental results in constructing belief networks for image classi cation systems based on probabilistic reasoning. In particular, we compare the performance of systems based on manually constructed and automatically constructed belief networks. The systems exploit existing image descriptions and also exploit interactions between multiple classi ers to improve classi cation performance. Performance evaluation results for the consumer photograph domain are presented.
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