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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 ...
Prototype selection based on sequential search
(IOS Press, 2009)
General framework for class-specific feature selection
(Elsevier Ltd., 2011)
Prototype selection based on sequential search
(IOS Press, 2009)
Fuzzy emerging patterns for classifying hard domains
(Springer, 2011)
Supervised Pattern Recognition
(Wiley, 2019)
Hierarchical clustering and stochastic distance for indirect semi-supervised remote sensing image classification
(Springer, 2019-03-01)
Usually, image classification methods have supervised or unsupervised learning paradigms. While unsupervised methods do not need training data, the meanings behind the classified elements are not explicitly know. Conversely, ...