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Sparse Gaussian noisy independent component analysis
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014There are two main approaches to independent component analysis (ICA); maximization of non-Gaussianity of the sources and the exploitation of temporal correlation in Gaussian sources. In this paper, we present a novel sparse noisy ICA model where we have introduced temporal correlation in the sources, described by a first order auto regressive (AR(1 ...
Frosti Palsson +2 more
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Adaptive Weighted Sparse Principal Component Analysis
2018 IEEE International Conference on Multimedia and Expo (ICME), 2018In this paper, we propose an unsupervised feature selection method from the perspective of optimal reconstruction. The features selected by the proposed method can well represent the original data, and the effectiveness of the selected features is demonstrated by robust reconstruction and clustering.
Shuangyan Yi +3 more
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Eigenvectors from Eigenvalues Sparse Principal Component Analysis
Journal of Computational and Graphical Statistics, 2022H Robert Frost
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Exactly Uncorrelated Sparse Principal Component Analysis
Journal of Computational and Graphical Statistics, 2023Oh-Ran Kwon, Zhaosong Lu, Hui Zou
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Sparse principal component analysis using bootstrap method
Chemical Engineering Science, 2021Syed Ahmad Imtiaz, Salim Ahmed
exaly
Journal of the Taiwan Institute of Chemical Engineers, 2021
Jian Huang, Xu Yang, Yuri A W Shardt
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Jian Huang, Xu Yang, Yuri A W Shardt
exaly
A Selective Overview of Sparse Principal Component Analysis
Proceedings of the IEEE, 2018Hui Zou, Lingzhou Xue
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Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery
ISPRS Journal of Photogrammetry and Remote Sensing, 2016Yanfei Zhong, Xinyu Wang, Ruyi Feng
exaly