Results 11 to 20 of about 278,527 (254)
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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Similarity-based Fisher Linear Discriminant Analysis for Triangular Fuzzy Number [PDF]
Jisuanji gongcheng, 2018 For the classification problem of the triangular fuzzy number,this paper constructs similarity-based Fisher linear discriminant analysis model.The model is the generalization of the classical Fisher linear discriminant analysis model.The similarity of ...
HUANG Ya’nan,WEI Lili
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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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Sparse functional linear discriminant analysis [PDF]
Biometrika, 2021 SummaryFunctional linear discriminant analysis provides a simple yet efficient method for classification, with the possibility of achieving perfect classification. Several methods have been proposed in the literature that mostly address the dimensionality of the problem.
Park, Juhyun +2 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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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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