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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
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low functional » new functional (Expand Search), go functional (Expand Search), cog functional (Expand Search)
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
algorithm low » algorithm flow (Expand Search), algorithm co (Expand Search), algorithm allows (Expand Search)
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Data Sheet 1_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.csv
Published 2025“…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”
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Low-Rank Covariance Function Estimation for Multidimensional Functional Data
Published 2020“…Despite the lack of a closed form, under mild assumptions, the proposed estimator can achieve unified theoretical results that hold for any relative magnitudes between the sample size and the number of observations per sample field, and the rate of convergence reveals the phase-transition phenomenon from sparse to dense functional data. Based on a new representer theorem, an ADMM algorithm is developed for the trace-norm regularization. …”
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Test function information.
Published 2023“…<div><p>To address the problems of low accuracy and slow convergence of traditional multilevel image segmentation methods, a symmetric cross-entropy multilevel thresholding image segmentation method (MSIPOA) with multi-strategy improved pelican optimization algorithm is proposed for global optimization and image segmentation tasks. …”
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Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian Optimization
Published 2022“…Under suitable conditions, the algorithm converges linearly and can simultaneously estimate both the low-rank and sparse tensors. …”