Results 21 to 30 of about 811,918 (310)
Principal Component Analysis (PCA)
Encyclopedia of Autism Spectrum Disorders, 2014 • Patternrecognition in high-dimensional spaces-P roblems arise when performing recognition in a high-dimensional space (e.g., curse of dimensionality).-S ignificant improvements can be achievedb yfi rst mapping the data into a lower-dimensionality space.
Alexey L. Pomerantsev
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Classification of Anemia Images Based on Principal Component Analysis (PCA)
Al-Mustansiriyah Journal of Science, 2017 Blood cells are composed of erythrocytes (Red Blood Cells (RBCs)), the shape of RBC changes when the body suffers from different diseases such as Anemia.
Asma I. Hussein, Nidaa F. Hassan
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Moving objects classification via category-wise two-dimensional principal component analysis [PDF]
Applied Computing and Informatics, 2022 Classifying moving objects in video sequences has been extensively studied, yet it is still an ongoing problem. In this paper, we propose to solve moving objects classification problem via an extended version of two-dimensional principal component ...
Falah Alsaqre, Osama Almathkour
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ACS Sensors, 2018 Exosomes, which are nanovesicles secreted by cells, are promising biomarkers for cancer diagnosis and prognosis, based on their specific surface protein compositions.
Hyunku Shin +4 more
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Principal Component Analysis in advanced breeding lines of oat (A. sativa × A. sterilis)
Electronic Journal of Plant Breeding, 2023 One hundred advanced oat lines involving two checks were assessed for genetic variability and diversity based on 15 agro-morphological traits by using principal component analysis.
Nagesh Bichewar1*, A. K. Mehta1, Kadthala Bhargava2 and S. Ramakrishana1
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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
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, 2018 Background The development of statistical software has enabled food scientists to perform a wide variety of mathematical/statistical analyses and solve problems.
D. Granato +4 more
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PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm [PDF]
, 2009 As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs).
Aickelin, Uwe +3 more
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Sparse logistic principal components analysis for binary data [PDF]
, 2010 We develop a new principal components analysis (PCA) type dimension reduction method for binary data. Different from the standard PCA which is defined on the observed data, the proposed PCA is defined on the logit transform of the success probabilities ...
Hu, Jianhua +2 more
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Embedding Principal Component Analysis for Data Reductionin Structural Health Monitoring on Low-Cost IoT Gateways [PDF]
, 2019 Principal component analysis (PCA) is a powerful data reductionmethod for Structural Health Monitoring. However, its computa-tional cost and data memory footprint pose a significant challengewhen PCA has to run on limited capability embedded platformsin ...
Abdelgawad A. +8 more
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