Results 121 to 130 of about 114,074 (272)
Unlabelled Sensing: A Sparse Bayesian Learning Approach
CoRR, 2018 We address the recovery of sparse vectors in an overcomplete, linear and noisy multiple measurement framework, where the measurement matrix is known upto a permutation of its rows. We derive sparse Bayesian learning (SBL) based updates for joint recovery of the unknown sparse vector and the sensing order, represented using a permutation matrix.
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
Analysis of Sparse Bayesian Learning [PDF]
, 2002 Anita C. Faul, Michael E. Tipping
openaire +2 more sources
Applications in Plant Sciences, EarlyView.Abstract Premise Applied ecology can significantly influence policy decisions on environmental issues. Therefore, research in this field should be as transparent and reproducible as possible. Existing expertise from a broad range of disciplines should also be integrated into ecological research to allow researchers to maximize understanding of complex ...
Kailin Weitkämper +5 more
wiley +1 more source
A Regional Smoothing Block Sparse Bayesian Learning Method With Temporal Correlation for Channel Selection in P300 Speller. [PDF]
Front Hum Neurosci, 2022 Zhao X +6 more
europepmc +1 more source
Block Sparse Bayesian Learning: A Diversified Scheme
Advances in Neural Information Processing Systems 37Accepted to NeurIPS ...
Yanhao Zhang, Zhihan Zhu, Yong Xia 0002
openaire +3 more sources
Anatomical Sciences Education, EarlyView.Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
Variational Sparse Bayesian Learning for Estimation of Gaussian Mixture Distributed Wireless Channels. [PDF]
Entropy (Basel), 2021 Kong L, Zhang X, Zhao H, Wei J.
europepmc +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Nonparametric Bayesian dictionary learning algorithm based on structural similarity
Tongxin xuebao, 2019 Though nonparametric Bayesian methods possesses significant superiority with respect to traditional comprehensive dictionary learning methods,there is room for improvement of this method as it needs more consideration over the structural similarity and ...
Daoguang DONG +4 more
doaj +2 more sources