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MLDM
2009
Springer
15 years 8 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
ACL
2012
13 years 4 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
ATAL
2003
Springer
15 years 5 months ago
Analyzing the efficiency of strategies for MAS-based sensor interpretation and diagnosis
One of the factors holding back the application of multiagent, distributed approaches to large-scale sensor interpretation and diagnosis problems is the lack of good techniques fo...
Norman Carver, Ruj Akavipat
CVPR
2009
IEEE
1382views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Super-Resolution via Recapture and Bayesian Effect Modeling
This paper presents Bayesian edge inference (BEI), a single-frame super-resolution method explicitly grounded in Bayesian inference that addresses issues common to existing meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
INFOCOM
2009
IEEE
15 years 8 months ago
Event Recognition in Sensor Networks by Means of Grammatical Inference
Abstract—Modern military and civilian surveillance applications should provide end users with the high level representation of events observed by sensors rather than with the raw...
Sahin Cem Geyik, Boleslaw K. Szymanski