Results 21 to 30 of about 337,735 (278)
Essentially optimal sparse polynomial multiplication [PDF]
12 ...
Giorgi, Pascal +2 more
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Reduced Order Modeling with Skew-Radial Basis Functions for Time Series Prediction
We present a sparsity-promoting RBF algorithm for time-series prediction. We use a time-delayed embedding framework and model the function from the embedding space to predict the next point in the time series.
Manuchehr Aminian, Michael Kirby
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A Survey on High-Dimensional Subspace Clustering
With the rapid development of science and technology, high-dimensional data have been widely used in various fields. Due to the complex characteristics of high-dimensional data, it is usually distributed in the union of several low-dimensional subspaces.
Wentao Qu +3 more
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A Second Order Algorithm for MCP Regularized Optimization
In this article, we provide two optimal property of MCP regularization optimization. One shows that the support set of a local minimizer corresponds to linearly independent columns of $A$ , the other provides two sufficient conditions for a stationary ...
Wanyou Cheng, Hanlin Zhou, Ziten Guo
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Infinite Horizon Sparse Optimal Control [PDF]
A class of infinite horizon optimal control problems involving $L^p$-type cost functionals with ...
Dante Kalise, Karl Kunisch, Zhiping Rao
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The assembly accuracy of the extendible support structure is of importance for the imaging capability of synthetic aperture radar antennas. In general, due to manufacturing imperfections and installation variations, its assembly accuracy will be ...
Dewen Yu +4 more
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Mean-field sparse optimal control [PDF]
We introduce the rigorous limit process connecting finite dimensional sparse optimal control problems with ODE constraints, modelling parsimonious interventions on the dynamics of a moving population divided into leaders and followers, to an infinite dimensional optimal control problem with a constraint given by a system of ODE for the ...
Fornasier, Massimo +2 more
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As one of the important parts of a mechanical transmission system, a rolling bearing often has multiple faults coexisting, and the mutual coupling between multiple faults poses a challenge for accurate diagnosis of rolling bearings.
Wan Zhang +3 more
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On sparse optimal regression trees
In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between prediction accuracy and both types of sparsity, namely local and global, is sought. Our approach can accommodate important desirable properties for the regression task, such as cost-sensitivity and fairness.
Blanquero, Rafael +3 more
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Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions. However, when the signal dimension is large, the computation of the frame measurements of a signal typically requires a large number of additions and multiplications, and this ...
Casazza, Peter G. +3 more
openaire +3 more sources

