Results 11 to 20 of about 578,033 (291)
N-Dimensional Principal Component Analysis [PDF]
, 2010 In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques, and then amend our previous N-dimensional PCA (ND-PCA) scheme by introducing multidirectional decomposition into ND-PCA implementation.
Yu, Hongchuan
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Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]
, 2014 As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei +6 more
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Singular Learning of Deep Multilayer Perceptrons for EEG-Based Emotion Recognition
Frontiers in Computer Science, 2021 Human emotion recognition is an important issue in human–computer interactions, and electroencephalograph (EEG) has been widely applied to emotion recognition due to its high reliability.
Weili Guo +6 more
doaj +1 more source
Canadian Journal of Statistics, 2023 AbstractMahalanobis distance of covariate means between treatment and control groups is often adopted as a balance criterion when implementing a rerandomization strategy. However, this criterion may not work well for high‐dimensional cases because it balances all orthogonalized covariates equally.
Hengtao Zhang +2 more
openaire +3 more sources
Color face recognition using quaternion PCA [PDF]
, 2011 Recently, biometric systems have attracted the attention of both academic and industrial communities. Advances in hardware and software technologies have paved the way to such growing interest.
Jaha, Emad Sami, Lahouari, Ghouti
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Classification of biochemical and biomechanical data of diabetic rats treated with magnetic field by pca-supported j48 algorithm [PDF]
Kafkas Universitesi Veteriner Fakültesi Dergisi, 2019 The aim of this study was to investigate the J48 mediated decision tree algorithm from the principal component analysis - PCA, which is more complex, one of the statistical algorithms of diabetic metabolic disorders of Wistar albino rats" biochemical ...
Aykut PELİT +3 more
doaj +1 more source
A pilot study of the paraoxonase-1 (Q192 R) gene polymorphism association with prostate cancer in the Egyptian population [PDF]
Journal of Bioscience and Applied Research, 2020 Background and Objectives: Prostate cancer (PCa) is one of the most common cancer types in men and recognized as the fifth cause of death globally. Human paraoxanase-1 (PON1) is an enzyme synthesized in the liver and linked with high-density lipoprotein (
Hany Abd Al Hamid +4 more
doaj +1 more source
Experimental investigation of 50 MPa reinforced concrete slabs subjected to blast loading
Ingeniería e Investigación, 2018 This paper presents results from blast tests conducted on four 50 MPa concrete slabs with reinforcement ratios of 0,175% and 0,37%. Two of the slabs were retrofitted with 50 mm thick foam in order to investigate the potential of using the foam as a ...
Fausto Mendonça +2 more
doaj +1 more source
Bulletin of Geography. Socio-Economic Series, 2021 The purpose of the work was to identify the hidden relationship between water consumption and meteorological factors, using principal component analysis.
Piasecki Adam +2 more
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