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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 ...
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. ...
Objective measures ensemble in associative classifiers
(2020-01-01)
Associative classifiers (ACs) are predictive models built based on association rules (ARs). Model construction occurs in steps, one of them aimed at sorting and pruning a set of rules. Regarding ordering, usually objective ...
Objective Measures Ensemble in Associative Classifiers
(Scitepress, 2020-01-01)
Associative classifiers (ACs) are predictive models built based on association rules (ARs). Model construction occurs in steps, one of them aimed at sorting and pruning a set of rules. Regarding ordering, usually objective ...
Automated testing of aluminum castings using classifier fusion strategies
(AMER SOC NONDESTRUCTIVE TEST, 2005)
Generally, discontinuity detection in automated visual testing consists of two steps: identification of potential discontinuities using image processing techniques and classification of potential discontinuities into ...
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 ...
Spoken emotion recognition using hierarchical classifiers
(Elsevier, 2011-07)
The recognition of the emotional state of speakers is a multi-disciplinary research area that has received great interest over the last years. One of the most important goals is to improve the voice-based human-machine ...
The throat classifier: A novel air classifier for the control of dust in manufactured sands
(Elsevier Science SA, 2021-09)
The depletion of natural sources of sand has triggered a considerable amount of research regarding the utilization of manufactured sands in concrete production. In this context, the excess of dust in manufactured sands is ...