Results 21 to 30 of about 536,157 (280)
Discriminant analysis of multivariate spatial regressions
There is not abstract.
Kęstutis Dučinskas, Jūratė Šaltytė
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A Direct Estimation Approach to Sparse Linear Discriminant Analysis [PDF]
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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Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis [PDF]
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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Annealed Discriminant Analysis [PDF]
Motivated by the analogies to statistical physics, the deterministic annealing (DA) method has successfully been demonstrated in a variety of applications. In this paper, we explore a new methodology to devise the classifier under the DA method. The differential cost function is derived subject to a constraint on the randomness of the solution, which ...
Wang, Gang +2 more
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Discriminant analysis of the equicorrelated Gaussian observations
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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Discriminant analysis of the specialty of elite cyclist [PDF]
The different demands of competition coupled with the morphological and physiological characteristics of cyclists have led to the appearance of cycling specialities.
Benito Peinado, Pedro José +7 more
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Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications [PDF]
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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Discriminant analysis of variational pulsometry parameters
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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Generalized Sparse Discriminant Analysis for Event-Related Potential Classification [PDF]
A brain computer interface (BCI) is a system which provides direct communication between the mind of a person and the outside world by using only brain activity (EEG).
Peterson, Victoria +2 more
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Locality-Preserving Multiprojection Discriminant Analysis
Linear 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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