The present paper is Part 2 in this series of two papers. In Part 1 we provided an introduction to Multiple Classifier Systems (MCS) with a focus into the fundamentals: basic nomenclature …
We provide an introduction to Multiple Classifier Systems (MCS) including basic nomenclature and describing key elements: classifier dependencies, type of classifier …
These proceedings are a record of the Multiple Classi? er Systems Workshop, MCS 2010, held at the Nile University, Egypt in April 2010. Being the ninth in a well-established series of …
In the past decade, several rules for fusion of pattern classifiers' outputs have been proposed. Although imbalanced classifiers, that is, classifiers exhibiting very different …
Driven by the requirements of a large number of practical and commercially-portant applications, the last decade has witnessed considerable advances in p-tern recognition …
The belief that a committee of people make better decisions than any individual is widely held and appreciated. We also understand that, for this to be true, the members of the …
A Mishra - International journal of computer applications, 2010 - Citeseer
ABSTRACT A biometric system is essentially a pattern recognition system that operates by acquiring biometric data from an individual, extracting a feature set from the acquired data …
J Kittler, F Roli - Lecture notes in computer science, 2000 - Springer
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 …