Results 11 to 20 of about 337,735 (278)
A Spectral Reconstruction Algorithm of Miniature Spectrometer Based on Sparse Optimization and Dictionary Learning [PDF]
Sensors, 2018 The miniaturization of spectrometer can broaden the application area of spectrometry, which has huge academic and industrial value. Among various miniaturization approaches, filter-based miniaturization is a promising implementation by utilizing ...
Shang Zhang +4 more
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A Survey of Sparse Representation: Algorithms and Applications
IEEE Access, 2015 Sparse representation has attracted much attention from researchers in fields of signal processing, image processing, computer vision, and pattern recognition.
Zheng Zhang +4 more
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Sparse Signal Estimation by Maximally Sparse Convex Optimization [PDF]
IEEE Transactions on Signal Processing, 2014 13 pages, 9 ...
Selesnick, Ivan W., Bayram, Ilker
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Sparse Network Optimization for Synchronization [PDF]
Journal of Optimization Theory and Applications, 2021 The adjacency matrices of the 10 graphs studied in this manuscript can be found in the ancillary ...
Regina S. Burachik +2 more
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Dynamic Orthogonal Matching Pursuit for Sparse Data Reconstruction
IEEE Open Journal of Signal Processing, 2023 The orthogonal matching pursuit (OMP) is one of the mainstream algorithms for sparse data reconstruction or approximation. It acts as a driving force for the development of several other greedy methods for sparse data reconstruction, and it also plays a ...
Yun-Bin Zhao, Zhi-Quan Luo
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Multi-Objective Models for Sparse Optimization in Linear Support Vector Machine Classification
Mathematics, 2023 The design of linear Support Vector Machine (SVM) classification techniques is generally a Multi-objective Optimization Problem (MOP). These classification techniques require finding appropriate trade-offs between two objectives, such as the amount of ...
Behzad Pirouz, Behrouz Pirouz
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Sparse noncommutative polynomial optimization
Mathematical Programming, 2021 This article focuses on optimization of polynomials in noncommuting variables, while taking into account sparsity in the input data. A converging hierarchy of semidefinite relaxations for eigenvalue and trace optimization is provided. This hierarchy is a noncommutative analogue of results due to Lasserre [SIAM J. Optim. 17(3) (2006), pp.
Klep, Igor, Magron, Victor, Povh, Janez
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Incoherent Interference Detection and Mitigation for Millimeter-Wave FMCW Radars
Remote Sensing, 2022 Current automotive radar technology is almost exclusively implemented using frequency modulated continuous wave (FMCW) radar in the millimeter wave bands.
Zhihuo Xu, Shuaikang Xue, Yuexia Wang
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Optimal Sparse Regression Trees
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Regression trees are one of the oldest forms of AI models, and their predictions can be made without a calculator, which makes them broadly useful, particularly for high-stakes applications. Within the large literature on regression trees, there has been little effort towards full provable optimization, mainly due to the computational hardness of the ...
Zhang, Rui +3 more
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Seismic diffraction detection method for geological hidden disasters in coal mining
矿业科学学报, 2022 The geological hidden disaster-causing bodies such as small-scale faults and collapsed columns may destroy the continuity of the coal seam, which will lead to accidents such as gas outburst and water outburst in the air mining area, and seriously ...
Zhao Jingtao +3 more
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