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Then, the detected facial region is parallel processed by multiple classifiers to estimate the expression.
In contrast, decision-level fusion takes results from multiple classifiers to compute a single value.
The paper presents the construction and application of multiple classifiers to increase the accuracy of the fault detection module in the diagnostic task.
In this paper, a hybrid artificial intelligence method based on an ensemble of multiple classifiers to improve LULC map accuracy is shown.
The proposed methods combine the results of multiple classifiers to achieve a substantially improved prediction compared to the optimal single classifier.
Zhang et al. used multiple classifiers to evaluate the feature subsets selected by the GA.
Similar(53)
Here, this interpretation was done by comparing the results of the individual classifiers and the multiple classifiers visually to the color composite images of the available bands.
Key to our analysis is the innovative use of stable isotope labeling with amino acids in cell culture (SILAC) (Ong et al., 2002), plus development of a framework to integrate data from multiple classifiers, including nonproteomic classifiers, to reveal proteins of interest and determine functional relationships between protein complexes in the context of whole chromosomes.
In the paper by Perlich [90], a transfer learning approach is employed that uses the weighted outputs of multiple source classifiers to enhance a target classifier trained to predict targeted online display advertising results.
This is an asymmetric transformation to map the weight vectors learned from the binary classifiers of the source domain (as multi-class problems are commonly decomposed into multiple binary classifiers) to those of the target.
Features were evaluated using Ranker and Info Gain Attribute Evaluation algorithm, and multiple classifiers were investigated to recognize the beats.
Related(20)
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com