نتایج جستجو برای: multiple discriminant analysis mda

تعداد نتایج: 3415525  

Journal: :IJSDS 2010
Minghe Sun

New linear programming approaches are proposed as nonparametric procedures for multiple-class discriminant and classification analysis. A new MSD model minimizing the sum of the classification errors is formulated to construct discriminant functions. This model has desirable properties because it is versatile and is immune to the pathologies of some of the earlier mathematical programming model...

Journal: :journal of artificial intelligence in electrical engineering 2016
saeede jabbarzadeh reyhani saeed meshgini

classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...

Journal: :iranian journal of applied animal science 2015
a. getu k. alemayehu z. wuletaw

rapid exploratory field survey, to identify indigenous chicken ecotypes was conducted in north gondar zone of ethiopia. chicken ecotypes including necked neck, gasgie and gugut from quara, alefa and tache armacheho districts were identified, respectively. morphological variations among the three study populations and nine measurable traits were evaluated. general linear model, canonical discrim...

Journal: :journal of ai and data mining 2015
maryam imani hassan ghassemian

when the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. in this paper, we propose a supervised feature extraction method based on discriminant analysis (da) which uses the first principal component (pc1) to weight the scatter matrices. the proposed method, called da-pc1, copes with the small sample size problem and has...

2013
Guo-Can Feng

Recent applications and developments based on support vector machines (SVMs) have shown that using multiple kernels instead of a single one can enhance classifier performance. However, there are few reports on performance of the kernel‐based Fisher discriminant analysis (kernel‐based FDA) method with multiple kernels. This paper proposes a multiple kernel construction ...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2018

1998
Peter J H Jongen Karel J B Lamers Wim H Doesburg Wim A J G Lemmens Otto R Hommes

Objectives—To find whether CSF analysis may diVerentiate between relapsingremitting and secondary progressive multiple sclerosis. Methods—In 17 patients with relapsingremitting and 16 patients with secondary progressive multiple sclerosis, all without current or recent relapses, albumin CSF: peripheral blood ratio, mononuclear cell number, CD4+, CD8+, and B1+ subsets, CD4+:CD8+ ratio, IgG, IgG ...

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