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100
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Mixture modelling is a hot area in pattern recognition. Although most research in this area has focused on mixtures for continuous data, there are many pattern recognition tasks f...
112
Voted
MCS
2010
Springer
15 years 9 months ago
2010
Springer
Abstract. Understanding ensemble diversity is one of the most important fundamental issues in ensemble learning. Inspired by a recent work trying to explain ensemble diversity from...
135
Voted
MCS
2010
Springer
15 years 9 months ago
2010
Springer
A method for applying weighted decoding to error-correcting output code ensembles of binary classifiers is presented. This method is sensitive to the target class in that a separa...
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
The problem of signature verification is considered within the bounds of the kernel-based methodology of pattern recognition, more specifically, SVM principle of machine learning....
136
Voted
MCS
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...