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» Correcting the Document Layout: A Machine Learning Approach
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DOCENG
2007
ACM
13 years 11 months ago
Logical document conversion: combining functional and formal knowledge
We present in this paper a method for document layout analysis based on identifying the function of document elements (what they do). This approach is orthogonal and complementary...
Hervé Déjean, Jean-Luc Meunier
BMCBI
2010
133views more  BMCBI 2010»
13 years 7 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
ICML
1997
IEEE
14 years 8 months ago
Automatic Rule Acquisition for Spelling Correction
This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledg...
Lidia Mangu, Eric Brill
ICDAR
2005
IEEE
14 years 1 months ago
Unconstrained Numeral Pair Recognition Using Enhanced Error Correcting Output Coding: A Holistic Approach
– This paper describes a new approach to recognize touching numeral strings. Currently most methods for numeral string recognition require segmenting the string image into separa...
Jie Zhou, Ching Y. Suen
DEXA
2003
Springer
95views Database» more  DEXA 2003»
14 years 29 days ago
XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents
Effective daily processing of large amounts of paper documents in office environments requires the application of semantic-based indexing techniques during the transformation of pa...
Donato Malerba, Michelangelo Ceci, Margherita Bera...