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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 ...
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
(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 ...
Dynamic Selection of Classifiers with Application in Real Environments
(2013)
The main goal of this project is to propose, develop, and evaluate novel strategies for selecting
dynamically a subset of classifiers under the base of a deep study on the behavior of an oracle
for different real environments. ...
Improving the accuracy of the optimum-path forest supervised classifier for large datasets
(2010-12-15)
In this work, a new approach for supervised pattern recognition is presented which improves the learning algorithm of the Optimum-Path Forest classifier (OPF), centered on detection and elimination of outliers in the ...
Improving the accuracy of the optimum-path forest supervised classifier for large datasets
(2010-12-15)
In this work, a new approach for supervised pattern recognition is presented which improves the learning algorithm of the Optimum-Path Forest classifier (OPF), centered on detection and elimination of outliers in the ...
Intrusion detection system using optimum-path forest
(2011-12-01)
Intrusion detection systems that make use of artificial intelligence techniques in order to improve effectiveness have been actively pursued in the last decade. Neural networks and Support Vector Machines have been also ...
Intrusion detection system using optimum-path forest
(2011-12-01)
Intrusion detection systems that make use of artificial intelligence techniques in order to improve effectiveness have been actively pursued in the last decade. Neural networks and Support Vector Machines have been also ...