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» Using Generation for Grammar Analysis and Error Detection
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COLING
1996
15 years 4 months ago
Automatic Detection of Omissions in Translations
ADOMIT is an algorithln for Automatic Detection of OMissions in Translations. The algorithm relies solely on geometric analysis of bitext maps and uses no linguistic information. ...
I. Dan Melamed
CVPR
2005
IEEE
16 years 5 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
ECBS
2005
IEEE
160views Hardware» more  ECBS 2005»
15 years 9 months ago
Traceability-Driven Model Refinement for Test Case Generation
Testing complex Computer-Based Systems is not only a demanding but a very critical task. Therefore the use of models for generating test data is an important goal. Tool support du...
Matthias Riebisch, Michael Hübner
IJCNN
2000
IEEE
15 years 7 months ago
Neural Networks for Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
Simon J. Hickinbotham, James Austin
130
Voted
ICPR
2000
IEEE
16 years 4 months ago
Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stress...
Simon J. Hickinbotham, James Austin