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ICPR
2002
IEEE
14 years 1 months ago
Analysis of Error-Reject Trade-off in Linearly Combined Classifiers
In this paper, a framework for the analysis of the error-reject trade-off in linearly combined classifiers is proposed. We start from a framework developed by Tumer and Ghosh [1,2...
Fabio Roli, Giorgio Fumera, Gianni Vernazza
MCS
2001
Springer
14 years 29 days ago
Error Rejection in Linearly Combined Multiple Classifiers
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...
Giorgio Fumera, Fabio Roli
MCS
2002
Springer
13 years 8 months ago
Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
Fabio Roli, Giorgio Fumera
PAMI
2008
205views more  PAMI 2008»
13 years 8 months ago
A Theoretical Analysis of Bagging as a Linear Combination of Classifiers
Giorgio Fumera, Fabio Roli, Alessandra Serrau
DRR
2009
13 years 6 months ago
Combination of dynamic Bayesian network classifiers for the recognition of degraded characters
We investigate in this paper the combination of DBN (Dynamic Bayesian Network) classifiers, either independent or coupled, for the recognition of degraded characters. The independ...
Laurence Likforman-Sulem, Marc Sigelle