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» Inferring Knowledge from a Large Semantic Network
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CVPR
2010
IEEE
15 years 7 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
KCAP
2003
ACM
15 years 5 months ago
Using transformations to improve semantic matching
Many AI tasks require determining whether two knowledge representations encode the same knowledge. Solving this matching problem is hard because representations may encode the sam...
Peter Z. Yeh, Bruce W. Porter, Ken Barker
IJCAI
2007
15 years 1 months ago
Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri
Most word sense disambiguation (WSD) methods require large quantities of manually annotated training data and/or do not exploit fully the semantic relations of thesauri. We propos...
George Tsatsaronis, Michalis Vazirgiannis, Ion And...
NETWORKING
2004
15 years 1 months ago
Multi-domain Diagnosis of End-to-End Service Failures in Hierarchically Routed Networks
Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...
Malgorzata Steinder, Adarshpal S. Sethi
IPSN
2005
Springer
15 years 5 months ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden