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» Learning in FOL with a Similarity Measure
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CISST
2004
164views Hardware» more  CISST 2004»
15 years 2 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
MM
2003
ACM
241views Multimedia» more  MM 2003»
15 years 6 months ago
Invariance in motion analysis of videos
In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. The motion is represent...
Cen Rao, Mubarak Shah, Tanveer Fathima Syeda-Mahmo...
SWWS
2008
15 years 3 months ago
A Harmony based Adaptive Ontology Mapping Approach
- Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. Ontology mapping is critical to achieve semantic interoperability in the...
Ming Mao, Yefei Peng, Michael Spring
ESWS
2007
Springer
15 years 7 months ago
Semantic Process Retrieval with iSPARQL
Abstract. The vision of semantic business processes is to enable the integration and inter-operability of business processes across organizational boundaries. Since different orga...
Christoph Kiefer, Abraham Bernstein, Hong Joo Lee,...
COLT
2007
Springer
15 years 7 months ago
Sketching Information Divergences
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
Sudipto Guha, Piotr Indyk, Andrew McGregor