Results 11 to 20 of about 24,268,118 (293)
, 2006 This chapter deals with issues related to linear discriminant analysis (LDA). In the introduction, we indicate some basic conceptions of LDA. Then, the definitions and notations related to LDA are discussed. Finally, the introduction to non-linear LDA and the chapter summary are given.
David Zhang, Xiao-Yuan Jing, Jian Yang
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Matrix Linear Discriminant Analysis. [PDF]
Technometrics, 2020 We propose a novel linear discriminant analysis approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the equivalence of the conventional linear discriminant analysis and the ordinary least squares, we consider an efficient nuclear norm penalized regression that encourages a low ...
Hu W, Shen W, Zhou H, Kong D.
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Localized Linear Discriminant Analysis [PDF]
, 2007 Abstract. Despite its age, the Linear Discriminant Analysis performs well even in situations where the underlying premises like normally distributed data with constant covariance matrices over all classes are not met. It is, however, a global technique that does not regard the nature of an individual observation to be classified.
Czogiel, Irina +3 more
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IEEE Access, 2021 In this paper, we propose a three-stage lightweight framework for centrifugal pump fault diagnosis. First, the centrifugal pump vibration signatures are fast transformed using a Walsh transform, and Walsh spectra are obtained. To overcome the hefty noise
Zahoor Ahmad +4 more
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Modified linear discriminant analysis [PDF]
Pattern Recognition, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Songcan Chen, Daohong Li
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Random projections as regularizers: learning a linear discriminant ensemble from fewer observations than dimensions [PDF]
, 2013 We examine the performance of an ensemble of randomly-projected Fisher Linear Discriminant classifiers, focusing on the case when there are fewer training observations than data dimensions.
Kabán, Ata, Durrant, Robert J.
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Pseudo Bidirectional Linear Discriminant Analysis for Multivariate Time Series Classification
IEEE Access, 2021 Multivariate time series (MTS) is a kind of matrix data, typically consisting of multiple variables measured at multiple time points. Due to the high dimensionality of MTS data, many methods for MTS classification have been proposed within the literature
Jianhua Zhao +5 more
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Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis
Remote Sensing, 2021 Polar Mesospheric Summer Echoes (PMSE) are distinct radar echoes from the Earth’s upper atmosphere between 80 to 90 km altitude that form in layers typically extending only a few km in altitude and often with a wavy structure.
Dorota Jozwicki +2 more
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Joint Polarimetric Subspace Detector Based on Modified Linear Discriminant Analysis [PDF]
, 2022 Polarimetric synthetic aperture radar (PolSAR) is widely used in remote sensing and has important applications in the detection of ships. Although many polarimetric detectors have been proposed, they are not well combined.
Yang, Jian +4 more
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Impedimetric Analysis of Trabecular Bone Based on Cole and Linear Discriminant Analysis
Frontiers in Physics, 2021 A spatially unambiguous characterization of electrical properties of osseous tissues is important for the therapy of osteopathy via electrical stimulation.
Wenzuo Wei +8 more
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