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IBPRIA
2007
Springer
15 years 10 months ago
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
Javier Melenchón, Elisa Martínez
ICPR
2000
IEEE
15 years 10 months ago
Rough Histograms for Robust Statistics
Applied statistics are widely used in pattern recognition and other computing applications tofind the most likely value of a parameter. The use of classical empirical statistics i...
Olivier Strauss, Frederic Comby, Marie-José...
MCS
2000
Springer
15 years 10 months ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich
MCS
2000
Springer
15 years 10 months ago
Experiments with Classifier Combining Rules
Abstract. A large experiment on combining classifiers is reported and discussed. It includes, both, the combination of different classifiers on the same feature set and the combina...
Robert P. W. Duin, David M. J. Tax
MCS
2000
Springer
15 years 10 months ago
A Multi-expert System for Dynamic Signature Verification
This paper presents a multi-expert system for dynamic signature verification. The system combines three experts whose complementar behaviour is achieved by using both different fea...
Vincenzo Di Lecce, Giovanni Dimauro, Andrea Guerri...