Results 61 to 70 of about 25,940 (257)
Applied Sciences, 2023 Short-term wind forecasting is critical for the dispatch, controllability and stability of a power grid. As a challenging but indispensable work, short-term wind forecasting has attracted considerable attention from researchers.
Shi Liu, Guangchao Zhang
doaj +1 more source
Sparse PCA via Covariance Thresholding
J. Mach. Learn. Res., 2013 40 pages, 3 figures ...
Yash Deshpande, Andrea Montanari
openaire +4 more sources
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Fast Randomized PCA for Sparse Data
CoRR, 2018 Principal component analysis (PCA) is widely used for dimension reduction and embedding of real data in social network analysis, information retrieval, and natural language processing, etc. In this work we propose a fast randomized PCA algorithm for processing large sparse data.
Xu Feng +4 more
openaire +3 more sources
Advanced Science, EarlyView.Prostate cancer is immunologically ‘cold’, with scarce, dysfunctional type 1 conventional dendritic cells (cDC1s) that limit T cell priming. We introduce an aptamer‐targeted liposomedelivering FMS‐like tyrosine kinase 3 ligand (Flt3L) and chlorin e6 (Ce6). Ultrasound induces antigen release and cDC1s recruitment, creating an in situ cDC1 vaccine.
Jiayi Wang +8 more
wiley +1 more source
Sparse HJ Biplot: A New Methodology via Elastic Net
Mathematics, 2021 The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of ...
Mitzi Cubilla-Montilla +3 more
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Advanced Science, EarlyView.Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao +7 more
wiley +1 more source
Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell Data
Frontiers in Oncology, 2020 Integrative, single-cell analyses may provide unprecedented insights into cellular and spatial diversity of the tumor microenvironment. The sparsity, noise, and high dimensionality of these data present unique challenges.
Lauren L. Hsu +3 more
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Low-rank and eigenface based sparse representation for face recognition. [PDF]
PLoS ONE, 2014 In this paper, based on low-rank representation and eigenface extraction, we present an improvement to the well known Sparse Representation based Classification (SRC).
Yi-Fu Hou +3 more
doaj +1 more source
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
Advanced Science, EarlyView.A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source