Results 121 to 130 of about 4,208,641 (395)
Principal Basis Analysis in Sparse Representation [PDF]
arXiv, 2015 This article introduces a new signal analysis method, which can be interpreted as a principal component analysis in sparse decomposition of the signal. The method, called principal basis analysis, is based on a novel criterion: reproducibility of component which is an intrinsic characteristic of regularity in natural signals.
arxiv
Principal Component Analysis of Weak Lensing Surveys
, 2005 We study degeneracies between cosmological parameters and measurement errors from cosmic shear surveys using a principal component analysis of the Fisher matrix.
Anderson +55 more
core +4 more sources
Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms
FEBS Letters, EarlyView.Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze +3 more
wiley +1 more source
Pengenalan Jenis Kelamin Berbasis Kernel Principal Component Analysis
Rekayasa, 2015 Gender Recognition adalah salah satu penelitian di bidang biometrik dan computer vision yang cukup popular. Gender Recognition adalah pengembangan dari Face Recognition, Gender Recognition dapat mengklasifikasikan citra menjadi 2 kelas yaitu perempuan ...
Achmad Rizal
doaj +1 more source
Visualisation of financial time series by linear principal component analysis and nonlinear principal component analysis [PDF]
arXiv, 2014 In this dissertation, the main goal is visualisation of financial time series. We expect that visualisation of financial time series will be a useful auxiliary for technical analysis. Firstly, we review the technical analysis methods and test our trading rules, which are built by the essential concepts of technical analysis.
arxiv
FlashPCA2: principal component analysis of biobank-scale genotype datasets
bioRxiv, 2016 Motivation Principal component analysis (PCA) is a crucial step in quality control of genomic data and a common approach for understanding population genetic structure.
Gad Abraham, Yixuan Qiu, M. Inouye
semanticscholar +1 more source
FEBS Letters, EarlyView.The S1025 peptide is the major antidote to the YrzI toxin, which we renamed here as SpyT (Small Peptide YrzI Toxin) and SpyA (Small Peptide YrzI Antitoxin) (1). Degradation of the toxin–antitoxin spyTA mRNA, either by a translation‐dependent cleavage by the endoribonuclease Rae1 (2) or by direct attack by 3′‐exoribonucleases (3), also contributes to ...
Laetitia Gilet +4 more
wiley +1 more source
Regularized Principal Component Analysis for Spatial Data
, 2016 In many atmospheric and earth sciences, it is of interest to identify dominant spatial patterns of variation based on data observed at $p$ locations and $n$ time points with the possibility that $p>n$. While principal component analysis (PCA) is commonly
Huang, Hsin-Cheng, Wang, Wen-Ting
core +2 more sources
A Review of Distributed Algorithms for Principal Component Analysis
Proceedings of the IEEE, 2018 Principal component analysis (PCA) is a fundamental primitive of many data analysis, array processing, and machine learning methods. In applications where extremely large arrays of data are involved, particularly in distributed data acquisition systems ...
Sissi Xiaoxiao Wu +3 more
semanticscholar +1 more source
FEBS Letters, EarlyView.α2 → 8 polysialic acid elicits poor immunogenicity. Small‐angle scattering shows a supramolecular structure with parallel‐chain binding, although in different forms at μm and mm calcium. The major histocompatibility complex requires molecular weights around 2000 Da to produce antibodies, and 2000 Da polysialic oligomers will bind in these structures ...
Kenneth A. Rubinson
wiley +1 more source