Based on the theory of the classic EMBET method, this paper proposes a method of multivariate measurement data fusion based on principal component estimation.
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Based on the theory of the classic. EMBET method, this paper proposes a method of multivariate measurement data fusion based on principal component estimation.
A Fusion Method of Multivariate Measurement Data Based on ...
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This paper focuses on the estimation of reliability of unimodal and multimodal verification decisions produced by biometric systems.
Mar 28, 2019 · The PCAD based approach consists of three main steps: first, the parameters are estimated by a decomposition eigenvalue of the FID transversal ...
A new multivariate algorithm based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD), namely, principal component ...
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This study detailed stepwise strategies for creating data fusion models using unsupervised techniques at different levels.
Missing: Estimation. | Show results with:Estimation.
To end this, a new multivariate algorithm based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD), namely, principal ...
This article describes a multivariate statistical analysis of these measures to reduce redundancy and find comparatively independent measures for assessing the ...
Missing: Estimation. | Show results with:Estimation.
Nov 24, 2017 · In this PCA-UKF algorithm, the PCA based on multivariate statistical theory is used to distribute the weight deduced from the various sensors ...
This paper proposes a multivariate monitoring method based on the KPCA and Dual Control Chart (KPCA-DCC), which adopts a scheme of monitoring all principal ...