Results 31 to 40 of about 569,117 (264)

Principal Component Projection Without Principal Component Analysis

open access: yesCoRR, 2016
We show how to efficiently project a vector onto the top principal components of a matrix, without explicitly computing these components. Specifically, we introduce an iterative algorithm that provably computes the projection using few calls to any black-box routine for ridge regression.
Roy Frostig   +3 more
openaire   +3 more sources

Generative Principal Component Analysis

open access: yesCoRR, 2022
ICLR 2022 paper + additional appendix on algorithm-independent lower bounds + corrected experimental results for the Fashion-MNIST ...
Zhaoqiang Liu   +4 more
openaire   +3 more sources

A New Feature Extraction Method Based on the Information Fusion of Entropy Matrix and Covariance Matrix and Its Application in Face Recognition

open access: yesEntropy, 2015
The classic principal components analysis (PCA), kernel PCA (KPCA) and linear discriminant analysis (LDA) feature extraction methods evaluate the importance of components according to their covariance contribution, not considering the entropy ...
Shunfang Wang, Ping Liu
doaj   +1 more source

Chemomertic Risk Assessment of Soil Pollution

open access: yesOpen Chemistry, 2019
In this study, an interpretation and modeling of the soil quality by monitoring data using an intelligent data analysis is presented. On an annual average, values of 12 soil surface chemical parameters as input variables were determined at 35 sampling ...
Nedyalkova Miroslava, Simeonov Vasil
doaj   +1 more source

A principal component analysis for trees

open access: yesThe Annals of Applied Statistics, 2009
The active field of Functional Data Analysis (about understanding the variation in a set of curves) has been recently extended to Object Oriented Data Analysis, which considers populations of more general objects. A particularly challenging extension of this set of ideas is to populations of tree-structured objects.
Aydın, Burcu   +4 more
openaire   +4 more sources

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation

open access: yesEURASIP Journal on Advances in Signal Processing, 2004
Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these algorithms could be grouped into one of the following ...
Deniz Erdogmus   +4 more
doaj   +1 more source

Composição química da precipitação úmida da região metropolitana de Porto Alegre, Brasil, 2005- 2007

open access: yesQuímica Nova, 2012
This work aims to quantify the wet precipitation the Metropolitan Area of Porto Alegre (MAPA), in southern Brazil, through the analysis of major ions (by ion chromatography) and metallic elements (ICP/AES).
Daniela Montanari Migliavacca   +2 more
doaj   +1 more source

Principal Components Analysis of EEG Signals for Epileptic Patient Identification

open access: yesComputation, 2021
According to the behavior of its neuronal connections, it is possible to determine if the brain suffers from abnormalities such as epilepsy. This disease produces seizures and alters the patient’s behavior and lifestyle.
Maria Camila Guerrero   +2 more
doaj   +1 more source

Principal components analysis and cyclostationarity

open access: yesJournal of Multivariate Analysis, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boudou, Alain, Viguier-Pla, Sylvie
openaire   +3 more sources

External preference map to evaluate the acceptance of light and diet yogurt preparedusingnatural sweeteners

open access: yesCiência Rural, 2018
: Owing to the high demand for healthier foods, the food industry has been marketing diet and light yogurts. The present study aimed to sensorially evaluate yogurts prepared using natural sweeteners through a simple centroid mixture design with three ...
Daiana Aparecida de Carvalho   +2 more
doaj   +1 more source

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