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ML
2002
ACM
123views Machine Learning» more  ML 2002»
13 years 7 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
CVPR
1996
IEEE
13 years 11 months ago
Connectionist networks for feature indexing and object recognition
Feature indexing techniques are promising for object recognition since they can quickly reduce the set of possible matches for a set of image features. This work exploits another ...
Clark F. Olson
AIED
2009
Springer
14 years 2 months ago
Intelligent Learning Object Guide (iLOG): A Framework for Automatic Empirically-Based Metadata Generation
Abstract. We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning Object Guide (...
S. A. Riley, Lee Dee Miller, Leen-Kiat Soh, Ashok ...
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 8 months ago
Objective reduction using a feature selection technique
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
Antonio López Jaimes, Carlos A. Coello Coel...
OOPSLA
2004
Springer
14 years 22 days ago
An aspect-oriented generative approach
Generative programming and aspect-oriented software development have been proposed over the last years aiming at increasing maintainability and reusability of software systems. Wh...
Uirá Kulesza, Alessandro F. Garcia, Carlos ...