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» A theory of learning with similarity functions
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CVPR
2010
IEEE
15 years 7 months ago
One-Shot Multi-Set Non-rigid Feature-Spatial Matching
We introduce a novel framework for nonrigid feature matching among multiple sets in a way that takes into consideration both the feature descriptor and the features spatial arra...
Marwan Torki and Ahmed Elgammal
ESWS
2008
Springer
15 years 3 months ago
The Creation and Evaluation of iSPARQL Strategies for Matchmaking
Abstract. This research explores a new method for Semantic Web service matchmaking based on iSPARQL strategies, which enables to query the Semantic Web with techniques from traditi...
Christoph Kiefer, Abraham Bernstein
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
15 years 3 months ago
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
Kenneth L. Clarkson
PVLDB
2010
110views more  PVLDB 2010»
15 years 1 days ago
Evaluation of entity resolution approaches on real-world match problems
Despite the huge amount of recent research efforts on entity resolution (matching) there has not yet been a comparative evaluation on the relative effectiveness and efficiency of ...
Hanna Köpcke, Andreas Thor, Erhard Rahm
AAAI
2006
15 years 3 months ago
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
Composing existing Web services to deliver new functionality is a difficult problem as it involves resolving semantic, syntactic and structural differences among the interfaces of...
Rama Akkiraju, Biplav Srivastava, Anca-Andreea Iva...