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ACL
2007
13 years 9 months ago
A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
Feiyu Xu, Hans Uszkoreit, Hong Li
ICDAR
2009
IEEE
13 years 5 months ago
A Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering fro
A novel method for the segmentation of double-sided ancient document images suffering from bleed-through effect is presented. It takes advantage of the level set framework to prov...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
AIPS
2008
13 years 10 months ago
Structural Patterns Heuristics via Fork Decomposition
We consider a generalization of the PDB homomorphism abstractions to what is called "structural patterns". The bais in abstracting the problem in hand into provably trac...
Michael Katz, Carmel Domshlak
ICCV
2003
IEEE
14 years 9 months ago
Real Time Pattern Matching Using Projection Kernels
A novel approach to pattern matching is presented, which reduces time complexity by two orders of magnitude compared to traditional approaches. The suggested approach uses an effi...
Yacov Hel-Or, Hagit Hel-Or
SEKE
2004
Springer
14 years 1 months ago
Digging into the Visitor Pattern
In this paper we present an alternative to the VISITOR pattern, DYNAMIC DISPATCHER, that can be applied to extend existing software in a nonintrusive way, and which simulates cova...
Fabian Büttner, Oliver Radfelder, Arne Lindow...