Results 31 to 40 of about 4,208,641 (395)
Terrestrial, Atmospheric and Oceanic Sciences, 2017 The tropical Atlantic Ocean exhibits several modes of interannual variability such as the equatorial (or Atlantic Niño) mode, and meridional (or Atlantic dipole) mode.
S. C. Kenfack +6 more
doaj +1 more source
Improved Two-Dimensional Quaternion Principal Component Analysis
IEEE Access, 2019 The two-dimensional quaternion principal component analysis (2D-QPCA) is first improved into abstracting the features of quaternion matrix samples in both row and column directions, being the generalization ability, and with the components weighted by ...
Meixiang Zhao, Zhigang Jia, Dunwei Gong
doaj +1 more source
A high-performance computing toolset for relatedness and principal component analysis of SNP data
Bioinform., 2012 Genome-wide association studies are widely used to investigate the genetic basis of diseases and traits, but they pose many computational challenges.
Xiuwen Zheng +5 more
semanticscholar +1 more source
Comparison of Statistical Underlying Systematic Risk Factors and Betas Driving Returns on Equities
Revista Mexicana de Economía y Finanzas Nueva Época REMEF, 2021 The objective of this paper is to compare four dimension reduction techniques used for extracting the underlying systematic risk factors driving returns on equities of the Mexican Market.
Rogelio Ladrón de Guevara Cortés +2 more
doaj +1 more source
Sample size for principal component analysis in corn [PDF]
Pesquisa Agropecuária Brasileira, 2022 The objective of this work was to determine the number of plants required to estimate the eigenvalues of the principal components analysis in corn (Zea mays) traits.
Alberto Cargnelutti Filho, Marcos Toebe
doaj +1 more source
Recursive principal components analysis [PDF]
Neural Networks, 2005 A recurrent linear network can be trained with Oja's constrained Hebbian learning rule. As a result, the network learns to represent the temporal context associated to its input sequence. The operation performed by the network is a generalization of Principal Components Analysis (PCA) to time-series, called Recursive PCA. The representations learned by
openaire +6 more sources
Craniofacial similarity analysis through sparse principal component analysis.
PLoS ONE, 2017 The computer-aided craniofacial reconstruction (CFR) technique has been widely used in the fields of criminal investigation, archaeology, anthropology and cosmetic surgery.
Junli Zhao +7 more
doaj +1 more source
Robust Orthogonal Complement Principal Component Analysis [PDF]
, 2016 Recently, the robustification of principal component analysis has attracted lots of attention from statisticians, engineers and computer scientists. In this work we study the type of outliers that are not necessarily apparent in the original observation ...
Li, Shijie, She, Yiyuan, Wu, Dapeng
core +1 more source
Linear discriminant analysis and principal component analysis to predict coronary artery disease
Health Informatics Journal, 2020 Coronary artery disease is one of the most prevalent chronic pathologies in the modern world, leading to the deaths of thousands of people, both in the United States and in Europe.
C. Ricciardi +8 more
semanticscholar +1 more source
Euler Principal Component Analysis [PDF]
International Journal of Computer Vision, 2012 Principal Component Analysis (PCA) is perhaps the most prominent learning tool for dimensionality reduction in pattern recognition and computer vision. However, the ℓ 2-norm employed by standard PCA is not robust to outliers. In this paper, we propose a kernel PCA method for fast and robust PCA, which we call Euler-PCA (e-PCA).
Liwicki, Stephan +3 more
openaire +5 more sources