Results 21 to 30 of about 601,144 (294)
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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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 +3 more
core +2 more sources
Classification of α wave motor imagery based on SVM and PCA
Dianzi Jishu Yingyong, 2022 A feature screening method based on alpha wave and principal component analysis was proposed to solve the problem that the weakly correlated feature quantity would affect the classification accuracy in EEG motor imagery classification.
Cai Jing +3 more
doaj +1 more source
Journal of Statistical Physics, 2017 A system with many degrees of freedom can be characterized by a covariance matrix; principal components analysis (PCA) focuses on the eigenvalues of this matrix, hoping to find a lower dimensional description. But when the spectrum is nearly continuous, any distinction between components that we keep and those that we ignore becomes arbitrary; it then ...
Bradde, Serena, Bialek, William
openaire +3 more sources
Application of Minimal Data Sets for Quantitative Assessment and Investigation of Spatial Autocorrelation of Soil Quality in Southwestern Lands of Urmia Plain [PDF]
علوم آب و خاک, 2023 Soil quality is one of the most crucial factors determining crop productivity and production stability. The soil's physical, chemical, biological, and ecological characteristics affect its quality. Numerous researchers have concentrated the evaluation on
A. Barikloo +3 more
doaj
Mass transfer rate and osmotic treatment efficiency of peaches
Acta Universitatis Sapientiae: Alimentaria, 2022 The highest-quality peaches [Prunus persica (L.) Batsch] are cultivated in areas with sunny summers, therefore the territory of the Autonomous Province of Vojvodina is a favourable region for their production.
Lončar B. +6 more
doaj +1 more source
RKF-PCA: Robust kernel fuzzy PCA
Neural Networks, 2009 Principal component analysis (PCA) is a mathematical method that reduces the dimensionality of the data while retaining most of the variation in the data. Although PCA has been applied in many areas successfully, it suffers from sensitivity to noise and is limited to linear principal components.
Computer and Information Science and Engineering, University of Florida, United States ( host institution ) +3 more
openaire +4 more sources
, 2023 Phylogenetic PCA (p-PCA) is a version of PCA for observations that are leaf nodes of a phylogenetic tree. P-PCA accounts for the fact that such observations are not independent, due to shared evolutionary history. The method works on Euclidean data, but in evolutionary biology there is a need for applying it to data on manifolds, particularly shapes ...
Morten Akhøj +2 more
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PCA in autocorrelation space [PDF]
Object recognition supported by user interaction for service robots, 2003 The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the autocorrelation space is a high dimensional space we are interested in reducing the dimensionality of feature vectors for the benefit of the pattern classification task.
Popovici, V., Thiran, J.
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Spatial and Temporal Assessment of Water Quality Changes in North, Northwest and Southwest Rivers of Iran, Involving Multivariate Statistical Techniques and GIS [PDF]
Water Harvesting Research, 2022 Surface water, especially rivers, is one of the most important water resources that play an important role in supplying water for various activities.
Parva Mohammadi +3 more
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