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» Generating maximal models using the stable model semantics
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WAPCV
2007
Springer
15 years 10 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
ICDE
2012
IEEE
269views Database» more  ICDE 2012»
13 years 6 months ago
A Deep Embedding of Queries into Ruby
—We demonstrate SWITCH, a deep embedding of relational queries into RUBY and RUBY on RAILS. With SWITCH, there is no syntactic or stylistic difference between RUBY programs that ...
Torsten Grust, Manuel Mayr
AAAI
2008
15 years 6 months ago
POIROT - Integrated Learning of Web Service Procedures
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
CORR
2010
Springer
160views Education» more  CORR 2010»
15 years 4 months ago
Scalable Probabilistic Databases with Factor Graphs and MCMC
Incorporating probabilities into the semantics of incomplete databases has posed many challenges, forcing systems to sacrifice modeling power, scalability, or treatment of relatio...
Michael L. Wick, Andrew McCallum, Gerome Miklau
ISM
2008
IEEE
134views Multimedia» more  ISM 2008»
15 years 10 months ago
GeM-Tree: Towards a Generalized Multidimensional Index Structure Supporting Image and Video Retrieval
In this paper, we propose a tree-based multidimensional structure, GeM-Tree, which indexes both images and videos within a single general framework utilizing Earth Mover’s Dista...
Kasturi Chatterjee, Shu-Ching Chen