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» Deriving Concept Mappings through Instance Mappings
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EELC
2006
121views Languages» more  EELC 2006»
14 years 1 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...
CVPR
2009
IEEE
14 years 4 months ago
Image hallucination with feature enhancement
1 Example-based super-resolution recovers missing high frequencies in a magnified image by learning the correspondence between co-occurrence examples at two different resolution le...
Zhiwei Xiong, Xiaoyan Sun, Feng Wu
ASYNC
1999
IEEE
76views Hardware» more  ASYNC 1999»
14 years 2 months ago
Real-Time Merging
We describe an extension of the virtual volume concept to multiple sensors. Data from multiple sensors are combined in real-time and mapped into a constantly updating three-dimens...
Mark R. Greenstreet
ESWS
2005
Springer
14 years 3 months ago
Web Explanations for Semantic Heterogeneity Discovery
Managing semantic heterogeneity is a complex task. One solution involves matching like terms to each other. We view Match as an operator that takes two graph-like structures (e.g....
Pavel Shvaiko, Fausto Giunchiglia, Paulo Pinheiro ...
IJCNN
2007
IEEE
14 years 4 months ago
Neurolinguistic Approach to Vector Representation of Medical Concepts
Abstract—Putative brain processes responsible for understanding language are based on spreading activation in semantic networks, providing enhanced representations that involve c...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian