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» A Model for Learning the Semantics of Pictures
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SEMWEB
2001
Springer
15 years 2 months ago
OntoMap - the Guide to the Upper-Level
Abstract. The upper-level ontologies are theories that capture the most common concepts, which are relevant for many of the tasks involving knowledge extraction, representation, an...
Atanas K. Kirakov, Marin Dimitrov
CVPR
2010
IEEE
15 years 5 months ago
Multi-Class Object Localization by Combining Local Contextual Interactions
Recent work in object localization has shown that the use of contextual cues can greatly improve accuracy over models that use appearance features alone. Although many of these mo...
Carolina Galleguillos, Brian McFee, Gert Lanckriet
ICCD
2000
IEEE
119views Hardware» more  ICCD 2000»
15 years 1 months ago
Source-Level Transformations for Improved Formal Verification
A major obstacle to widespread acceptance of formal verification is the difficulty in using the tools effectively. Although learning the basic syntax and operation of a formal ver...
Brian D. Winters, Alan J. Hu
IJCAI
2003
14 years 11 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
100
Voted
GG
2008
Springer
14 years 10 months ago
Transformation-Based Operationalization of Graph Languages
Graph Languages1 emerged during the seventies from the necessity to process data structures with complex interrelations. Nowadays, various variants of these languages can be found...
Erhard Weinell