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We first compared the performance of seizure detection based on feature fusion using different statistical classifiers.
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To solve this problem, we present a novel approach based on feature level biometrics fusion.
Part B includes further examination of the effects of noise and handset on SIA based on features and fusion methods.
Recently a method based on feature-level fusion of fingerprint and finger-vein has been proposed [3].
In this article, a new multifocus image fusion algorithm based on feature contrast of multiscale products is proposed in LSWT domain.
In the decision fusion, two classifiers are used; one based on features extracted from EEG and the other from features obtained from HRV.
BBU discovery is performed based on features extracted from video sequences, hence the fusion of multiple dimensional features is very important.
The weather is cloudy, the sun is not enough, the embedded tracking algorithm based on multi-feature fusion and visual target compression is recorded as ET-MVC, and the target object feature tracking algorithm is denoted as T-OTF.
To sum up, the embedded tracking algorithm based on multi-feature fusion and localization of visual target compression is shown in Fig. 4.
In order to improve the positioning accuracy and the quality of tracking service, we propose an embedded tracking algorithm based on multi-feature fusion and visual object compression.
The kernel methods provide the inspiration to develop a new feature selection and fusion method based on FA for feature fusion in gearbox condition monitoring.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com