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ICPR
2008
IEEE
16 years 9 months ago
Efficient user preference predictions using collaborative filtering
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
C. Lee Giles, Yang Song
ICPR
2006
IEEE
16 years 8 months ago
Feature selection based on the training set manipulation
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Pavel Krízek, Josef Kittler, Václav ...
ICPR
2004
IEEE
16 years 8 months ago
Facial Image Retrieval Based on Demographic Classification
In this paper we propose a novel method for demographic classification and present an image retrieval system that can retrieve facial images by demographic information that includ...
Bo Wu, Chang Huang, Haizhou Ai
ICPR
2002
IEEE
16 years 8 months ago
To Each According to its Need: Kernel Class Specific Classifiers
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
Barbara Caputo, Heinrich Niemann
SIGSOFT
2005
ACM
16 years 8 months ago
The story of moose: an agile reengineering environment
Moose is a language-independent environment for reverseand re-engineering complex software systems. Moose provides a set of services including a common meta-model, metrics evaluat...
Oscar Nierstrasz, Stéphane Ducasse, Tudor G...