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» Using transformations to improve semantic matching
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SCIA
2009
Springer
118views Image Analysis» more  SCIA 2009»
15 years 4 months ago
Grouping of Semantically Similar Image Positions
Features from the Scale Invariant Feature Transformation (SIFT) are widely used for matching between spatially or temporally displaced images. Recently a topology on the SIFT featu...
Lutz Priese, Frank Schmitt, Nils Hering
CVPR
2003
IEEE
16 years 1 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
DLS
2008
213views Languages» more  DLS 2008»
15 years 1 months ago
A parsing machine for PEGs
Parsing Expression Grammar (PEG) is a recognition-based foundation for describing syntax that renewed interest in top-down parsing approaches. Generally, the implementation of PEG...
Sérgio Medeiros, Roberto Ierusalimschy
WWW
2007
ACM
16 years 12 days ago
Using Google distance to weight approximate ontology matches
Discovering mappings between concept hierarchies is widely regarded as one of the hardest and most urgent problems facing the Semantic Web. The problem is even harder in domains w...
Risto Gligorov, Warner ten Kate, Zharko Aleksovski...
131
Voted
CVPR
2009
IEEE
16 years 6 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...