نتایج جستجو برای: based on principal component analysis method

تعداد نتایج: 10999180  

Journal: :Journal of Physics: Conference Series 2013

Journal: :Indonesian Journal of Electrical Engineering and Computer Science 2021

<span lang="EN-US">Face recognition is a considerable problem in the field of image processing. It used daily various applications from personal cameras to forensic investigations. Most provides solutions proposed based on full-face images, are slow compute and need more storage. In this paper, we propose an effective way reduce features size database face method thus get increase speed d...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید باهنر کرمان - دانشکده ادبیات و علوم انسانی 1389

abstract this research has been carried out with the purpose of investigating the conditions and related elements of the employment of the educational sciences graduates of hamedan province universities in 1382-1387 academic years. it has been a descriptive research of a correlation kind, and the population number has been 1180 grduates of payam- e noor universites in asad – abaad, kaboudaraha...

Journal: :Computational Statistics & Data Analysis 2020

Journal: :تولید گیاهان زراعی 0

this research was conducted to investigate genotyp×environment interaction for grain yield of ten wheat cultivars in 8 environments (combinations of two nitrogen fertilizer treatment and four irrigation regimes). analysis of additive main effects (analysis of variance) and multiplicative interaction effects (principal component analysis) revealed that the effects of genotype, environment and ge...

Journal: :Computational Statistics & Data Analysis 2007
Václav Smídl Anthony Quinn

A complete Bayesian framework for Principal Component Analysis (PCA) is proposed in this paper. Previous model-based approaches to PCA were usually based on a factor analysis model with isotropic Gaussian noise. This model does not impose orthogonality constraints, contrary to PCA. In this paper, we propose a new model with orthogonality restrictions, and develop its approximate Bayesian soluti...

Journal: :Computational Intelligence and Neuroscience 2017

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