Results 21 to 30 of about 231,492 (82)
IEEE Transactions on Geoscience and Remote Sensing, 2022 As hyperspectral imagery (HSI) contains rich spectral and spatial information, a novel principal component analysis (PCA) and segmented-PCA (SPCA)-based multiscale 2-D-singular spectrum analysis (2-D-SSA) fusion method is proposed for joint spectral ...
Hang Fu +4 more
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DP-PCA: Statistically Optimal and Differentially Private PCA [PDF]
Neural Information Processing Systems, 2022 We study the canonical statistical task of computing the principal component from $n$ i.i.d.~data in $d$ dimensions under $(\varepsilon,\delta)$-differential privacy.
Xiyang Liu +3 more
semanticscholar +1 more source
IEEE Transactions on Dependable and Secure Computing, 2021 Industrial control systems (ICSs) are widely used and vital to industry and society. Their failure can have severe impact on both the economy and human life. Hence, these systems have become an attractive target for physical and cyber attacks alike.
Moshe Kravchik, A. Shabtai
semanticscholar +1 more source
A methodology for landscape characterisation based on GIS and spatially constrained multivariate analysis [PDF]
, 2010 Landscape is about the relationship between people and place and in 2000 was defined by the European Landscape Commission (ELC) as "an area as perceived by people whose character is the result of natural and human actions and interactions”.
Marengo, iLaria
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FF-PCA-LDA: Intelligent Feature Fusion Based PCA-LDA Classification System for Plant Leaf Diseases
Applied Sciences, 2022 Crop leaf disease management and control pose significant impact on enhancement in yield and quality to fulfill consumer needs. For smart agriculture, an intelligent leaf disease identification system is inevitable for efficient crop health monitoring ...
Safdar Ali +5 more
semanticscholar +1 more source
Principal component analysis with georeferenced data : an application in precision agriculture [PDF]
, 2012 La utilización de nuevas tecnologías asociadas a la agricultura de precisión permite capturar información de múltiples variables en gran cantidad de sitios georreferenciados dentro de lotes en producción.
Balzarini, Mónica +3 more
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Classification models for heart disease prediction using feature selection and PCA
, 2020 The prediction of cardiac disease helps practitioners make more accurate decisions regarding patients' health. Therefore, the use of machine learning (ML) is a solution to reduce and understand the symptoms related to heart disease.
Anna Karen Gárate-Escamila +2 more
semanticscholar +1 more source
A Comparison of PCA-LDA and PLS-DA Techniques for Classification of Vibrational Spectra
Applied Sciences, 2022 Vibrational spectroscopies provide information about the biochemical and structural environment of molecular functional groups inside samples. Over the past few decades, Raman and infrared-absorption-based techniques have been extensively used to ...
M. Lasalvia, V. Capozzi, G. Perna
semanticscholar +1 more source
Variabilidad espacial multivariada en variables de suelo y rendimiento a escala fina [PDF]
, 2016 El manejo sitio-específico dentro de un lote requiere delimitar zonas homogéneas. Múltiples variables, tales como algunas propiedades del suelo, son usadas para la zonificación.
Balzarini, Monica Graciela +3 more
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Analysis of PCA with georeferenced data. An application in tourism industry [PDF]
, 2019 Fil: Luna, Laura Isabel. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.The spatial analysis of the tourism characteristic activities allows us to generate information about the structure of tourism industry, which is ...
Luna, Laura Isabel
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