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ICPR
2000
IEEE
13 years 9 months ago
Design of Effective Multiple Classifier Systems by Clustering of Classifiers
In the field of pattern recognition, multiple classifier systems based on the combination of outputs of a set of different classifiers have been proposed as a method for the devel...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
IJKESDP
2010
94views more  IJKESDP 2010»
12 years 11 months ago
Neuro-fuzzy-combiner: an effective multiple classifier system
: A neuro-fuzzy-combiner (NFC) is proposed to design an efficient multiple classifier system (MCS) with an aim to have an effective solution scheme for difficult classification pro...
Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Sa...
MCS
2002
Springer
13 years 4 months ago
New Measure of Classifier Dependency in Multiple Classifier Systems
Abstract. Recent findings in the domain of combining classifiers provide a surprising revision of the usefulness of diversity for modelling combined performance. Although there is ...
Dymitr Ruta, Bogdan Gabrys
SSPR
2000
Springer
13 years 8 months ago
Selection of Classifiers Based on Multiple Classifier Behaviour
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At p...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
MLDM
1999
Springer
13 years 9 months ago
Automatic Design of Multiple Classifier Systems by Unsupervised Learning
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...
Giorgio Giacinto, Fabio Roli