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ICML
2009
IEEE
16 years 5 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
ASWC
2009
Springer
15 years 11 months ago
Two-Fold Service Matchmaking - Applying Ontology Mapping for Semantic Web Service Discovery
Semantic Web Services (SWS) aim at the automated discovery and orchestration of Web services on the basis of comprehensive, machine-interpretable semantic descriptions. Since SWS a...
Stefan Dietze, Neil Benn, John Domingue, Alex Conc...
3DIM
2005
IEEE
15 years 10 months ago
A MRF Formulation for Coded Structured Light
Multimedia projectors and cameras make possible the use of structured light to solve problems such as 3D reconstruction, disparity map computation and camera or projector calibrat...
Jean-Philippe Tardif, Sébastien Roy
WACV
2005
IEEE
15 years 10 months ago
Ensemble Methods in the Clustering of String Patterns
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...
André Lourenço, Ana L. N. Fred
AAAI
2008
15 years 6 months ago
Lifted First-Order Belief Propagation
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
Parag Singla, Pedro Domingos