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Sparse Gaussian Process Approximations and Applications
2019Many tasks in machine learning require learning some kind of input-output relation (function), for example, recognising handwritten digits (from image to number) or learning the motion behaviour of a dynamical system like a pendulum (from positions and velocities now to future positions and velocities).
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Sparse Target Batch-Processing Framework for Scanning Radar Superresolution Imaging
IEEE Geoscience and Remote Sensing Letters, 2023Xingyu Tuo +2 more
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A Novel Sparse Bayesian Space-Time Adaptive Processing Algorithm to Mitigate Off-Grid Effects
Remote Sensing, 2022Xinying Zhang
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Sparse Principal Component Analysis for Natural Language Processing
Annals of Data Science, 2020Reza Drikvandi
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Sparse DiPCA for dynamic process monitoring
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS), 2021Jingxin Zhang 0002 +2 more
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A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction
Journal of Imaging, 2021Elena Morotti +2 more
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A Discretization-Free Sparse and Parametric Approach for Linear Array Signal Processing
IEEE Transactions on Signal Processing, 2014Zai Yang, Lihua Xie, Cishen Zhang
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Sparse Matrix Vector Processing Formats.
2004In this dissertation we have identified vector processing shortcomings related to the efficient storing and processing of sparse matrices. To alleviate existent problems we propose two storage formats denoted as Block Based Compression Storage (BBCS) format and Hierarchical Sparse Matrix (HiSM) storage.
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Current progress in sparse signal processing applied to radar imaging
Science China Technological Sciences, 2013Bingchen Zhang +2 more
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