منابع مشابه
A Principal Component Analysis of 39 Scientific Impact Measures
BACKGROUND The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data. Here we investigate how these new measures relate t...
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The present paper aims to investigate the amount of multi-cultural education components in the textbooks of secondary schools from 2013 to 2014. It is conducted through text-analysis. The components of Multi-cultural education were initially collected from theoretical text and research background using document analysis and then they were numbered in the textbooks of secondary schools. The unit...
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In this paper, we propose a nonparametric rank-based alternative to the least-squares independent component analysis algorithm developed. The basic idea is to estimate the squared-loss mutual information, which used as the objective function of the algorithm, based on its copula density version. Therefore, no marginal densities have to be estimated. We provide empirical evaluation of th...
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The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most relevant information of X. These eigenvectors are called principal components [8]. Ass...
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Face recognition is emerging as an active research area with numerous commercial and law enforcement applications. This paper presents comparative analysis of two most popular subspace projection techniques for face recognition. It compares Principal Component Analysis (PCA) and Independent Component Analysis (ICA), as implemented by the InfoMax algorithm. ORL face database is used for training...
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ژورنال
عنوان ژورنال: Studies in Regional Science
سال: 1990
ISSN: 0287-6256,1880-6465
DOI: 10.2457/srs.21.199