Results 91 to 100 of about 465,256 (146)
PCA, arithmetic, and murmurations
We outline how murmurations were first observed in the context of data scientific exploration. Specifically, we highlight the relationship between murmurations and PCA.
Oliver, T.
core +1 more source
Classificando cédulas brasileiras (R$) usando análise de imagem por smartphone
A new method to identify the authenticity of Brazilian banknotes (R$) is proposed using digital image analysis by a smartphone application, Photometrix®, associated with chemometric tools. Authentic banknotes (n = 4) obtained in local bank and falsified (
Bruno V. Vittorazzi +6 more
doaj +1 more source
Two-dimensional PCA: a new approach to appearance-based face representation and recognition
Jian Yang +3 more
semanticscholar +1 more source
Analysis of a large series of hand kinematics measurements [PDF]
This thesis describes a unified model of human hand kinematics. Visual 3D measurements of human hand segment positions throughout different movements are used to determine Denavit-Hartenberg parameters and joint angles for both left and right hands of ...
Kološnjaji, Bojan
core
Copyright information:Taken from "Proteomic profile determination of autosomal aneuploidies by mass spectrometry on amniotic fluids"http://www.proteomesci.com/content/6/1/1Proteome Science 2008;6():1-1.Published online 11 Jan 2008PMCID:PMC2248173.
Caroline Desmetz (82135) +5 more
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Variability is the prerequisite for selection of superior traits and parents. Multivariate analysis acts as an aid to the process of selection indices. Therefore, twenty-two farmers’ varieties of pea (Pisum sativum var.
Ruchi Bishnoi1,2 *, Shailesh Marker3,4 , Preeti Basser5 , Rutvik J. Joshi6 and Jogender Beniwal7
doaj +1 more source
This study examines the determinants of commuter satisfaction with public utility buses in Quezon City, Philippines, emphasizing service quality, travel duration, cost efficiency, and willingness to utilize the service.
Lorenzo Miguel C. Galvez +2 more
doaj +1 more source
Potential PCA interpretation problems for volatility smile dynamics [PDF]
Principal Component Analysis (PCA) is a common procedure for the analysis of financial market data, such as implied volatility smiles or interest rate curves.
Reiswich, Dimitri, Tompkins, Robert
core
A least squares approach to Principal Component Analysis for interval valued data [PDF]
Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core

