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» Local Features for Object Class Recognition
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ICPR
2004
IEEE
14 years 8 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
ACSW
2006
13 years 9 months ago
A simplified approach to web service development
Most languages used for developing web services and clients exhibit properties which make calling remote functions across a network a non-trivial task. The type systems used by ob...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...
ROCAI
2004
Springer
14 years 27 days ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
CVPR
2001
IEEE
14 years 9 months ago
Generic Model Abstraction from Examples
Model Abstraction from Examples Yakov Keselman, Member, IEEE, and Sven Dickinson, Member, IEEE The recognition community has typically avoided bridging the representational gap bet...
Yakov Keselman, Sven J. Dickinson
CVPR
2007
IEEE
14 years 9 months ago
Recognizing Groceries in situ Using in vitro Training Data
The problem of using pictures of objects captured under ideal imaging conditions (here referred to as in vitro) to recognize objects in natural environments (in situ) is an emergi...
Michele Merler, Carolina Galleguillos, Serge Belon...