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» Detecting Errors in Semantic Annotation
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ICDAR
2007
IEEE
15 years 4 months ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...
MIR
2003
ACM
147views Multimedia» more  MIR 2003»
15 years 3 months ago
Model checking for detection of sport highlights
Automatic semantic annotation of sports video requires that the domain knowledge is properly included and exploited in the annotation process and that low and intermediate-level f...
Marco Bertini, Alberto Del Bimbo, Walter Nunziati
VL
2010
IEEE
247views Visual Languages» more  VL 2010»
14 years 8 months ago
Cleanroom: Edit-Time Error Detection with the Uniqueness Heuristic
Many dynamic programming language features, such as implicit declaration, reflection, and code generation, make it difficult to verify the existence of identifiers through standar...
Andrew J. Ko, Jacob O. Wobbrock
DSN
2006
IEEE
15 years 1 months ago
An Approach for Detecting and Distinguishing Errors versus Attacks in Sensor Networks
Distributed sensor networks are highly prone to accidental errors and malicious activities, owing to their limited resources and tight interaction with the environment. Yet only a...
Claudio Basile, Meeta Gupta, Zbigniew Kalbarczyk, ...
ICASSP
2009
IEEE
14 years 7 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori