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» Reformulating Constraint Models Using Input Data
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CVPR
2000
IEEE
16 years 4 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
133
Voted
ICLP
2007
Springer
15 years 6 months ago
Web Sites Verification: An Abductive Logic Programming Tool
We present the CIFFWEB system, an innovative tool for the verification of web sites, relying upon abductive logic programming. The system allows the user to define rules that a web...
Paolo Mancarella, Giacomo Terreni, Francesca Toni
ICML
2006
IEEE
16 years 3 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
130
Voted
ICWS
2009
IEEE
15 years 11 months ago
Wrap Scientific Applications as WSRF Grid Services Using gRAVI
— Web service models are increasingly being used in the Grid community as way to create distributed applications exposing data and/or applications through self describing interfa...
Kyle Chard, Wei Tan, Joshua Boverhof, Ravi K. Madd...
121
Voted
INTERSPEECH
2010
14 years 9 months ago
Domain adaptation and compensation for emotion detection
Inspired by the recent improvements in domain adaptation and session variability compensation techniques used for speech and speaker processing, we study their effect for emotion ...
Michelle Hewlett Sanchez, Gökhan Tür, Lu...