Results 51 to 60 of about 851,900 (211)
Multiscale principal component analysis
, 2013 Principal component analysis (PCA) is an important tool in exploring data. The conventional approach to PCA leads to a solution which favours the structures with large variances.
Akinduko, A. A., Gorban, A. N.
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Weighted SNP set analysis in genome-wide association study. [PDF]
PLoS ONE, 2013 Genome-wide association studies (GWAS) are popular for identifying genetic variants which are associated with disease risk. Many approaches have been proposed to test multiple single nucleotide polymorphisms (SNPs) in a region simultaneously which ...
Hui Dai +9 more
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Structural Analysis of Network Traffic Matrix via Relaxed Principal Component Pursuit
, 2012 The network traffic matrix is widely used in network operation and management. It is therefore of crucial importance to analyze the components and the structure of the network traffic matrix, for which several mathematical approaches such as Principal ...
Dong, Xiaowen +4 more
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Face Detection using Principal Component Analysis (PCA)
International Journal of Computer Applications, 2014 Face Detection makes it possible to use the facial images of a person to authenticate him into secure system, for criminal identification, for passport verification etc. It is done by Principal Component Analysis (PCA).Face images are projected onto a face space that encodes best variation among known face images.
Tarun Metta, Jatin Agarwal, Pushpak Dave
openaire +1 more source
Algorithms for Projection - Pursuit robust principal component analysis. [PDF]
The results of a standard principal component analysis (PCA) can be affected by the presence of outliers. Hence robust alternatives to PCA are needed. One of the most appealing robust methods for principal component analysis uses the Projection-Pursuit ...
Croux, Christophe +2 more
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Principal component analysis for three-dimensional structured illumination microscopy (PCA-3DSIM)
Light: Science & ApplicationsThree-dimensional structured illumination microscopy (3DSIM) is an essential super-resolution imaging technique for visualizing volumetric subcellular structures at the nanoscale, capable of doubling both lateral and axial resolution beyond the ...
Jiaming Qian +5 more
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The Active Nucleus in NGC 4579
, 2009 In this work, we present an analysis of a data cube obtained with the instrument IFU/GMOS Gemini North telescope centered on the nuclear region of the LINER galaxy NGC 4579. This galaxy is known to have a type 1 AGN (see Eracleous et al.
Menezes, Roberto B. +3 more
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Principal Components Analysis for the Interpretation of Humidification Phenomena—Preliminary Results
Proceedings, 2019 Moisture is one of the major causes of building decay, compromising the indoor air quality and the durability of building components. Infrared thermography is a non-destructive technique that can be used to prevent damage caused by the presence of water.
Eva Barreira +3 more
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2020 Pengamatan citra Pap Smear merupakan langkah yang sangat penting dalam mendiagnosis awal terhadap gangguan servik. Pengamatan tersebut membutuhkan sumber daya yang besar. Dalam hal ini machine learning dapat mengatasi masalah tersebut.
Krisan Aprian Widagdo +2 more
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Self-adaptive node-based PCA encodings
, 2017 In this paper we propose an algorithm, Simple Hebbian PCA, and prove that it is able to calculate the principal component analysis (PCA) in a distributed fashion across nodes.
Johard, Leonard +3 more
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