Results 21 to 30 of about 2,261,156 (339)

Euler Principal Component Analysis [PDF]

International Journal of Computer Vision, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephan Liwicki, Georgios Tzimiropoulos, Stefanos Zafeiriou, Maja Pantic   +3 more
openaire   +4 more sources

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

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

Sea surface temperature patterns in the Tropical Atlantic: Principal component analysis and nonlinear principal component analysis

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, K. F. Mkankam, G. Alory, Y. du Penhoat, N. M. Hounkonnou, D. A. Vondou, G. B. Nfor   +6 more
doaj   +1 more source

Reionization constraints using Principal Component Analysis [PDF]

, 2010
Using a semi-analytical model developed by Choudhury & Ferrara (2005) we study the observational constraints on reionization via a principal component analysis (PCA).
Andrea Ferrara, Barkana, Bolton, Burigana, Chiu, Choudhury, Choudhury, Choudhury, Choudhury, Choudhury, Clarkson, Crittenden, Efstathiou, Efstathiou, Fan, Fan, Furlanetto, Gallerani, Gallerani, Gallerani, Hopkins, Hu, Huterer, Huterer, Kadota, Kashikawa, Lacey, Larson, Leach, Lewis, Loeb, Miralda-Escudé, Mortonson, Munshi, Press, Press, Pritchard, Prochaska, Schneider, Songaila, Sourav Mitra, T. Roy Choudhury, Totani, Wyithe   +43 more
core   +3 more sources

Principal Component Analysis of Infertility Data

Journal of Kufa for Mathematics and Computer, 2013
This paper applied PCA on infertility set of data, that was collected from Al-Nasiriya  province.  Infertility of  women that have been unable to conceive a child after one year of their marriage without birth control. Since infertility is very common
Nazera Khalil Dakhil, Hind Restom Mohammed, Hayder Abood kouree   +2 more
doaj   +1 more source

Osmotic dehydration of fish: principal component analysis [PDF]

Acta Periodica Technologica, 2014
Osmotic treatment of the fish Carassius gibelio was studied in two osmotic solutions: ternary aqueous solution - S1, and sugar beet molasses - S2, at three solution temperatures of 10, 20 and 30oC, at atmospheric pressure. The aim was to examine
Lončar Biljana Lj., Pezo Lato L., Lević Ljubinko B., Filipović Vladimir S., Nićetin Milica R., Knežević Violeta M., Kuljanin Tatjana A.   +6 more
doaj   +1 more source

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, Fuqing Duan, Zhenkuan Pan, Zhongke Wu, Jinhua Li, Qingqiong Deng, Xiaona Li, Mingquan Zhou   +7 more
doaj   +1 more source

GrIP-PCA: Grassmann Iterative P-Norm Principal Component Analysis

IEEE Open Journal of Signal Processing, 2020
Principal component analysis is one of the most commonly used methods for dimensionality reduction in signal processing. However, the most commonly used PCA formulation is based on the L2-norm, which can be highly influenced by outlier data.
Breton Minnehan, Navya Nagananda, Andreas Savakis   +2 more
doaj   +1 more source

HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal component analysis [PDF]

Genomics & Informatics, 2020
In genome-wide association studies, pathway-based analysis has been widely performed to enhance interpretation of single-nucleotide polymorphism association results.
Nan Jiang, Sungyoung Lee, Taesung Park
doaj   +1 more source