Modeling documents for structure recognition using generalized N-grams

@inproceedings{citeulike:1228586, abstract = {We present and discuss a novel approach to modeling logical structures of documents, based on a statistical representation of patterns in a document class. An efficient and error tolerant recognition heuristics adapted to the model is proposed. The statistical approach permits easily automated and incremental learning of the model. The approach has been partially evaluated on a prototype. A discussion of the results achieved by the prototype is finally made}, author = {Brugger, R. and Zramdini, A. and Ingold, R. }, citeulike-article-id = {1228586}, journal = {Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on}, keywords = {d\_a\_r, layout}, pages = {56--60 vol.1}, posted-at = {2007-04-15 23:23:28}, priority = {0}, title = {Modeling documents for structure recognition using generalized N-grams}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=619813}, volume = {1}, year = {1997} }

TY - CONF ID - citeulike:1228586 L3 - citeulike-article-id:1228586 N2 - We present and discuss a novel approach to modeling logical structures of documents, based on a statistical representation of patterns in a document class. An efficient and error tolerant recognition heuristics adapted to the model is proposed. The statistical approach permits easily automated and incremental learning of the model. The approach has been partially evaluated on a prototype. A discussion of the results achieved by the prototype is finally made JF - Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on EP - 60 vol.1 TI - Modeling documents for structure recognition using generalized N-grams VL - 1 SP - 56 KW - d_a_r KW - layout AU - Brugger, R AU - Zramdini, A AU - Ingold, R PY - 1997/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=619813 ER -