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IJCV
2006
115views more  IJCV 2006»
14 years 9 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...
74
Voted
ICCAD
2005
IEEE
128views Hardware» more  ICCAD 2005»
15 years 6 months ago
Reducing structural bias in technology mapping
Technology mapping based on DAG-covering suffers from the problem of structural bias: the structure of the mapped netlist depends strongly on the subject graph. In this paper we ...
Satrajit Chatterjee, Alan Mishchenko, Robert K. Br...
79
Voted
CVPR
1999
IEEE
15 years 2 months ago
A Volumetric Stereo Matching Method: Application to Image-Based Modeling
We formulate stereo matching as an extremal surface extraction problem. This is made possible by embedding the disparity surface inside a volume where the surface is composed of v...
Qian Chen, Gérard G. Medioni
77
Voted
SEMWEB
2007
Springer
15 years 3 months ago
Solving Semantic Ambiguity to Improve Semantic Web based Ontology Matching
A new paradigm in Semantic Web research focuses on the development of a new generation of knowledge-based problem solvers, which can exploit the massive amounts of formally speciļ¬...
Jorge Gracia, Vanessa Lopez, Mathieu d'Aquin, Mart...
78
Voted
SEMWEB
2007
Springer
15 years 3 months ago
An Empirical Study of Instance-Based Ontology Matching
Instance-based ontology mapping is a promising family of solutions to a class of ontology alignment problems. It crucially depends on measuring the similarity between sets of annot...
Antoine Isaac, Lourens van der Meij, Stefan Schlob...