Results 141 to 150 of about 90,827 (166)
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De-Biased Sparse PCA: Inference for Eigenstructure of Large Covariance Matrices
IEEE Transactions on Information Theory, 2021Jana Janková, Sara van de Geer
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Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer
IEEE Transactions on Information Theory, 2023Andrew McRae +2 more
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IEEE Transactions on Neural Networks and Learning Systems, 2019
Chun-Mei Feng, Yong Xu, Jin-Xing Liu
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Chun-Mei Feng, Yong Xu, Jin-Xing Liu
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Joint Group Sparse PCA for Compressed Hyperspectral Imaging
IEEE Transactions on Image Processing, 2015Zohaib Khan +2 more
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Convex Sparse PCA for Unsupervised Feature Learning
ACM Transactions on Knowledge Discovery From Data, 2017Xiaojun Chang, Feiping Nie, Yi Yang
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Sparse PCA for compositional data
2014A great number of procedures for sparse principal component analysis (PCA) were proposed in the last decade. However, they cannot be applied directly for PCA of compositional data (CoDa). We introduce a new procedure for sparse PCA which takes into account the additional constraints specific for CoDa.
Trendafilov N, GALLO, Michele
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Sparse Variable PCA Using Geodesic Steepest Descent
IEEE Transactions on Signal Processing, 2008Magnus O Ulfarsson, Victor Solo
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High‐resolution hyperpolarized metabolic imaging of the rat heart using k–t PCA and k–t SPARSE
NMR in Biomedicine, 2018Patrick Wespi +2 more
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