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5396views
15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
BMCBI
2004
144views more  BMCBI 2004»
13 years 7 months ago
PASBio: predicate-argument structures for event extraction in molecular biology
Background: The exploitation of information extraction (IE), a technology aiming to provide instances of structured representations from free-form text, has been rapidly growing w...
Tuangthong Wattarujeekrit, Parantu K. Shah, Nigel ...
ICDAR
2003
IEEE
14 years 22 days ago
A Fast Multifunctional Approach for Document Image Analysis
Collinear arrangement of objects (such as, text elements or continuous lines) is integral part of any office document image, whether structured or unstructured. The ability to ana...
Abhishek Gattani, Maitrayee Mukerji, Hareish Gu
CIKM
2008
Springer
13 years 9 months ago
TinyLex: static n-gram index pruning with perfect recall
Inverted indexes using sequences of characters (n-grams) as terms provide an error-resilient and language-independent way to query for arbitrary substrings and perform approximate...
Derrick Coetzee
BNCOD
2007
96views Database» more  BNCOD 2007»
13 years 9 months ago
Extracting Temporal Information from Short Messages
Abstract. Information Extraction, the process of eliciting data from natural language documents, usually relies on the ability to parse the document and then to detect the meaning ...
Richard Cooper, Sinclair Manson