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Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets
(2011-09-26)
The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind ...
Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets
(2011-09-26)
The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind ...
A Markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach
(2011-11-28)
The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed ...
Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets
(Springer, 2011-01-01)
The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind ...
A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach
(Springer, 2011-01-01)
The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed ...
A Markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach
(2011-11-28)
The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed ...
On-line linear combination of classifiers based on incremental information in speaker verification
(ELECTRONICS TELECOMMUNICATIONS RESEARCH INST, 2010)
A novel multiclassifier system (MCS) strategy is proposed and applied to a text-dependent speaker verification task. The presented scheme optimizes the linear combination of classifiers on an on-line basis. In contrast to ...
Improving classification with automated selection of a combined classifier
(2002)
In this paper we present how the classification results can be improved using a set of classifiers working together in a combined classifier. This one must be compound of different kind of classifiers in order to get better ...