An approach to the automatic design of multiple classifier systems
G Giacinto, F Roli - Pattern recognition letters, 2001 - Elsevier
Multiple classifier systems (MCSs) based on the combination of outputs of a set of different
classifiers have been proposed in the field of pattern recognition as a method for the …
classifiers have been proposed in the field of pattern recognition as a method for the …
Methods for designing multiple classifier systems
F Roli, G Giacinto, G Vernazza - International Workshop on Multiple …, 2001 - Springer
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 development …
outputs of a set of different classifiers have been proposed as a method for the development …
Adaptive selection of image classifiers
G Giacinto, F Roli - Image Analysis and Processing: 9th International …, 1997 - Springer
Recently, the concept of “Multiple Classifier Systems” was proposed as a new approach to
the development of high performance image classification systems. Multiple Classifier …
the development of high performance image classification systems. Multiple Classifier …
Multiple classifier systems
These proceedings are a record of the Multiple Classifier Systems Workshop, MCS 2009,
held at the University of Iceland, Reykjavik, Iceland in June 2009. Being the eighth in a well …
held at the University of Iceland, Reykjavik, Iceland in June 2009. Being the eighth in a well …
Design of multiple classifier systems
F Roli, G Giacinto - Hybrid methods in pattern recognition, 2002 - World Scientific
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 development …
outputs of a set of different classifiers have been proposed as a method for the development …
Dynamic classifier selection
G Giacinto, F Roli - International Workshop on Multiple Classifier Systems, 2000 - Springer
At present, the usual operation mechanism of multiple classifier systems is the combination
of classifier outputs. Recently, some researchers have pointed out the potentialities of …
of classifier outputs. Recently, some researchers have pointed out the potentialities of …
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 development …
outputs of a set of different classifiers have been proposed as a method for the development …
Data dependence in combining classifiers
It has been accepted that multiple classifier systems provide a platform for not only
performance improvement, but more efficient and robust pattern classification systems. A …
performance improvement, but more efficient and robust pattern classification systems. A …
Application of the evolutionary algorithms for classifier selection in multiple classifier systems with majority voting
D Ruta, B Gabrys - International Workshop on Multiple Classifier Systems, 2001 - Springer
In many pattern recognition tasks, an approach based on combining classifiers has shown a
significant potential gain in comparison to the performance of an individual best classifier …
significant potential gain in comparison to the performance of an individual best classifier …
Dynamic selection of classifiers—a comprehensive review
This work presents a literature review of multiple classifier systems based on the dynamic
selection of classifiers. First, it briefly reviews some basic concepts and definitions related to …
selection of classifiers. First, it briefly reviews some basic concepts and definitions related to …