Results 11 to 20 of about 282,422 (272)
Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis [PDF]
Journal of ImagingIn the field of video image processing, high definition is one of the main directions for future development. Faced with the curse of dimensionality caused by the increasingly large amount of ultra-high-definition video data, effective dimensionality ...
Yuhao Zhang +3 more
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Big Data Classification Efficiency Based on Linear Discriminant Analysis
Iraqi Journal for Computer Science and Mathematics, 2020 The proliferation of online platforms recently has led to unprecedented increase in data generation; this has given rise to the concept of big data which characterizes data in terms of volume, velocity, variety, and veracity.
Ahmed Hussein Ali +2 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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Dynamic Linear Discriminant Analysis in High Dimensional Space [PDF]
, 2019 High-dimensional data that evolve dynamically feature predominantly in the modern data era. As a partial response to this, recent years have seen increasing emphasis to address the dimensionality challenge.
Chen, Ziqi, Jiang, Binyan, Leng, Chenlei
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Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis [PDF]
, 2013 Fisher's linear discriminant analysis (FLDA) is an important dimension reduction method in statistical pattern recognition. It has been shown that FLDA is asymptotically Bayes optimal under the homoscedastic Gaussian assumption.
Bian, Wei, Tao, Dacheng
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A Direct Estimation Approach to Sparse Linear Discriminant Analysis [PDF]
, 2011 This paper considers sparse linear discriminant analysis of high-dimensional data. In contrast to the existing methods which are based on separate estimation of the precision matrix $\O$ and the difference $\de$ of the mean vectors, we introduce a simple
Cai, Tony, Liu, Weidong
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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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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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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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