Results 91 to 100 of about 415,661 (284)
Algorithms for projection-pursuit robust principal component analysis. [PDF]
Principal Component Analysis (PCA) is very sensitive in presence of outliers. One of the most appealing robust methods for principal component analysis uses the Projection-Pursuit principle.
Croux, Christophe +2 more
core
An Augmented Lagrangian Approach for Sparse Principal Component Analysis [PDF]
, 2009 Principal component analysis (PCA) is a widely used technique for data analysis and dimension reduction with numerous applications in science and engineering. However, the standard PCA suffers from the fact that the principal components (PCs) are usually
Lu, Zhaosong, Zhang, Yong
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec +6 more
wiley +1 more source
Remote Sensing, 2019 Dimensionality reduction (DR) is an important preprocessing step in hyperspectral image applications. In this paper, a superpixelwise kernel principal component analysis (SuperKPCA) method for DR that performs kernel principal component analysis (KPCA ...
Lan Zhang, Hongjun Su, Jingwei Shen
doaj +1 more source
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
core +1 more source
Arthritis Care &Research, EarlyView.Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source
Implementasi Pengenalan Wajah Menggunakan PCA (Principal Component Analysis)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), 2013 AbstrakSistem identifikasi berkembang dengan cepat. Perkembangan tersebut mendorong kemajuan sistem keamanan berbasis biometrik. Pengenalan wajah adalah salah satu sistem identifikasi yang dikembangkan berdasarkan perbedaan ciri wajah seseorang berbasis biometrik yang memiliki keakuratan tinggi.Eigenface merupakan salah satu metode pengenalan wajah ...
Pratiwi, Dian Esti, Harjoko, Agus
openaire +2 more sources
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
, 2016 We revisit the problem of finding principal components to the multivariate datasets, that lie on an embedded nonlinear Riemannian manifold within the higher-dimensional space.
Pham, Tung, Yao, Zhigang
core
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
Advanced Engineering Materials, EarlyView.An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source