Results 11 to 20 of about 1,506,457 (286)
Quantum dimensionality reduction by linear discriminant analysis [PDF]
Physica A: Statistical Mechanics and its Applications, 2021 Dimensionality reduction (DR) of data is a crucial issue for many machine learning tasks, such as pattern recognition and data classification. In this paper, we present a quantum algorithm and a quantum circuit to efficiently perform linear discriminant ...
Kai-huan Yu, Song Lin, Gongde Guo
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Efficient Regression-Based Linear Discriminant Analysis for Side-Channel Security Evaluations
Transactions on Cryptographic Hardware and Embedded Systems, 2023 32-bit software implementations become increasingly popular for embedded security applications. As a result, profiling 32-bit target intermediate values becomes increasingly needed to evaluate their side-channel security.
Gaëtan Cassiers +3 more
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Saliency-Based Multilabel Linear Discriminant Analysis
IEEE Transactions on Cybernetics, 2021 Linear discriminant analysis (LDA) is a classical statistical machine-learning method, which aims to find a linear data transformation increasing class discrimination in an optimal discriminant subspace.
Lei Xu +3 more
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Linear discriminant analysis of interclass correlated spatio-temporal data
Lietuvos Matematikos Rinkinys, 2003 There is not abstract.
Jūratė Šaltytė-Benth +1 more
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MINERAL WATERS CLASSIFICATION USING FUZZY LINEAR DISCRIMINANT ANALYSIS
Studia Universitatis Babes-Bolyai Chemia, 2020 Fuzzy linear discriminant analysis is efficiently applied for the characterization and classification of some Romanian and German mineral waters according to their mineral composition. The samples were successfully classified according to the degrees of
Alexandrina GUIDEA +3 more
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Z-score linear discriminant analysis for EEG based brain-computer interfaces. [PDF]
PLoS ONE, 2013 Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption ...
Rui Zhang +5 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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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
openaire +4 more sources