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Found 3 papers, 1 papers with code
Solving multiscale elliptic problems by sparse radial basis function neural networks
Thus the loss function contains two parts: the $L_2$ loss for the residual of the first-order system and boundary conditions, and the $\ell_1$ regularization term for the weights of radial basis functions (RBFs).
Sparse Representation of Gaussian Molecular Surface
In this paper, we propose a model and algorithm for sparse representing Gaussian molecular surface.
Numerical Analysis Numerical Analysis
Image Segmentation Based on Multiscale Fast Spectral Clustering
The computational complexity of Multiscale Fast Spectral Clustering is O(nlogn) and its memory cost is O(m).
