Results 31 to 40 of about 14,660 (227)
KERNEL MAD ALGORITHM FOR RELATIVE RADIOMETRIC NORMALIZATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 The multivariate alteration detection (MAD) algorithm is commonly used in relative radiometric normalization. This algorithm is based on linear canonical correlation analysis (CCA) which can analyze only linear relationships among bands.
Y. Bai, P. Tang, C. Hu
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Woody Plant Diversity and Community Structure Along Elevational and Soil Gradients in <i>Betula platyphylla</i> Forests, Southeastern Tibetan Plateau. [PDF]
Ecol EvolThis study investigates the species composition, distribution, and diversity of Betula platyphylla forests in the Nyang River Basin in southeastern Tibet. The results show that elevation is the primary factor influencing species diversity in plant communities, with diversity indices significantly decreasing with increasing elevation.
Norbu N +9 more
europepmc +2 more sources
Tensor canonical correlation analysis [PDF]
, 2019 Canonical correlation analysis (CCA) is a multivariate analysis technique for estimating a linear relationship between two sets of measurements. Modern acquisition technologies, for example, those arising in neuroimaging and remote sensing, produce data ...
C., Eric +5 more
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GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, 2018 El Análisis de Correlaciones Canónicas (CCA) desarrollado por Hotelling entre 1935 y 1936 es un método utilizado para estudiar las relaciones existentes entre dos conjuntos de variables.
Jorge Luis Azor Hernández +2 more
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SA Journal of Industrial Psychology, 2006 The principal objective of the study was to determine the utility of canonical correlation analysis, coupled with target rotation, in coping with the effects of differential skewness of variables representing two batteries of tests.
Johann M Schepers
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Sparse tensor canonical correlation analysis for micro-expression recognition
, 2016 A micro-expression is considered a fast facial movement that indicates genuine emotions and thus provides a cue for deception detection. Due to its promising applications in various fields, psychologists and computer scientists, particularly those focus ...
Wang,Su-Jing +4 more
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A whitening approach to probabilistic canonical correlation analysis for omics data integration
BMC Bioinformatics, 2019 Background Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications, ranging from molecular biology and medicine to social science and finance.
Takoua Jendoubi, Korbinian Strimmer
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Using the Canonical Correlation Analysis Technique for Imaging Dimensionality Reduction in Multisource Land sat Images [PDF]
المجلة العراقية للعلوم الاحصائية, 2013 The Canonical Correlations Analysis technique (CCA) was suggested in the dimensionality reduction images for the multivariate multisource data applied in remote sensing . These techniques transform multivariate multiset data into new orthogonal variables
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A Novel 1-D CCANet for ECG Classification
Applied Sciences, 2021 This paper puts forward a 1-D convolutional neural network (CNN) that exploits a novel analysis of the correlation between the two leads of the noisy electrocardiogram (ECG) to classify heartbeats. The proposed method is one-dimensional, enabling complex
Ian-Christopher Tanoh, Paolo Napoletano
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Advanced Healthcare Materials, EarlyView.A long‐lived, five‐cell‐type human neurovascular (PENTA) model recreates vascular disorganization and incomplete repair after traumatic brain injury (TBI). By integrating endothelial, glial, neuronal, and immune components within a 3D scaffold, the platform enables time‐resolved analysis of neurovascular remodeling and provides a human‐relevant system ...
Daniel S. Hinrichsen +6 more
wiley +1 more source