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The task of logical structure recovery is known to be of crucial importance, yet remains unsolved not only for image based document but also for born-digital document system. In this work, the modeling of contextual information based on 2D Conditional Random Fields is proposed to learn page structure for born-digital fixed-layout documents. Heuristic prior knowledge of Portable Document Format (PDF)...
The primary information units in a newspaper are the articles. Article reconstruction from newspapers including article aggregation and reading order recovery is known to be a quite challenging task due to the complexity of the multi-article page layout. In this paper, we propose a novel approach for article reconstruction using a bipartite graph framework, which models the complex relationships between...
Software development often involves lots of domains, the models in different domains require different modeling elements. By metamodeling, we can formulate an appropriate meta-model and define domain modeling language according to domains that require. Combine domain modeling and MDA(Model Driven Architecture), metamodeling can greatly enchance the efficiency of software development. Firstly, this...
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