Results 21 to 30 of about 538,598 (303)
Discriminant analysis of the equicorrelated Gaussian observations
Lietuvos Matematikos Rinkinys, 2021 In this paper the problem of classification of an observation into one of two Gaussian populations with different means and common variance is considered in the case when equicorrelated training sample is given.
Kęstutis Dučinskas +1 more
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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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Ridge Fusion in Statistical Learning [PDF]
, 2014 We propose a penalized likelihood method to jointly estimate multiple precision matrices for use in quadratic discriminant analysis and model based clustering.
Geyer, Charles J. +2 more
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Discriminant analysis of variational pulsometry parameters
Российский технологический журнал, 2020 The article is devoted to an important applied problem - the exploration of heart rate variability using linear discriminant analysis. Statistical methods are often used in modern medicine, especially in cardiology.
U. I. Silkina, V. A. Balandin
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Person Re-identification by Local Maximal Occurrence Representation and Metric Learning [PDF]
, 2015 Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Hu, Yang +3 more
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Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications [PDF]
, 2010 Food authenticity studies are concerned with determining if food samples have been correctly labelled or not. Discriminant analysis methods are an integral part of the methodology for food authentication.
Adrian +3 more
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Smooth discrimination analysis
The Annals of Statistics, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mammen, Enno, Tsybakov, Alexandre B.
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Low-Rank Kernel-Based Semisupervised Discriminant Analysis
Applied Computational Intelligence and Soft Computing, 2016 Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear.
Baokai Zu +3 more
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Locality-Preserving Multiprojection Discriminant Analysis
MathematicsLinear discriminant analysis (LDA), as an effective feature extraction method, has been widely applied in high-dimensional data analysis. However, its discriminative performance is still severely limited by the following factors.
Jiajun Ma
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ESG companies classification: application to Nasdaq companies
Finance, Markets and Valuation, 2019 This paper analyzes the discrimination of sustainable companies taking into account their overall ESG score. For this, a linear discriminant model is described through economic and financial variables, the size of the companies, as well as their ...
Oliver-Muncharaz, Javier
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