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» Scalable Feature Extraction from Noisy Documents
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DL
2000
Springer
162views Digital Library» more  DL 2000»
13 years 11 months ago
Snowball: extracting relations from large plain-text collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Luis Gravano
ICIP
2001
IEEE
14 years 9 months ago
Image data mining from financial documents based on wavelet features
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...
Ossama El Badawy, Mahmoud R. El-Sakka, Khaled Hass...
ER
2003
Springer
98views Database» more  ER 2003»
14 years 19 days ago
Extracting Relations from XML Documents
XML is becoming a prevalent format for data exchange. Many XML documents have complex schemas that are not always known, and can vary widely between information sources and applica...
Eugene Agichtein, C. T. Howard Ho, Vanja Josifovsk...
ICCV
1999
IEEE
13 years 11 months ago
Robust Estimation of Curvature Information from Noisy 3D Data for Shape Description
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
Chi-Keung Tang, Gérard G. Medioni
APCCM
2009
13 years 8 months ago
Extracting Conceptual Graphs from Japanese Documents for Software Requirements Modeling
A requirements analysis step plays a significant role on the development of information systems, and in this step we various kinds of abstract models of the systems (called requir...
Ryo Hasegawa, Motohiro Kitamura, Haruhiko Kaiya, M...