Preference Learning for Document Image Analysis
نویسندگان
چکیده
We resort to preference learning in order to address the problem of acquiring necessary knowledge in two distinct steps of the document image analysis process: 1) reading order detection, and 2) document summarization. We advocate a relational approach for both cases and we propose a probabilistic relational learning method. Experiments on real data for both applications prove the effectiveness of the proposed method.
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