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whose scattering kernels is the sum of a few separable terms (each of which is the product of a wavelength-dependent part and a geometry-dependent part... MH Brill - Proceedings of SPIE - The International Society for Optical Engineering 被引量: 14发表: 1991年 Window design in architecture:...
But then n vertex shader programs would run, all doing the same thing and unable to make any adaptive decisions because they run in separate GPU threads, isolated from each other. 41.3 Dynamic Output with the Geometry ShaderThe geometry shader, in contrast to the fragment or ...
展开全部 7个 A Graph-CNN for 3D Point Cloud Classification 阅读PDF 0 被引用·9 笔记 引用 Adaptive Graph Convolution for Point Cloud Analysis Theoretical Aspects of Group Equivariant Neural Networks The relationship between protein structure and function: a comprehensive survey with application to the ...
Yger, F. (2013) A review of kernels on covariance matrices for BCI applications. In IEEE international workshop on machine learning for signal processing, pp. 1–6. Yger, F., Sugiyama, M. (2015). Supervised log Euclidean metric learning for symmetric positive definite matrices. preprint ar...
The computational results were compared with high-speed schlieren visualization of spark and ignition kernels. It was shown that the spark channel emits a blast wave that is spherical near the electrode surfaces and cylindrical near the center of the spark gap, and thus is highly influenced by ...
These challenges include analyzing high-dimensional feature spaces, investigating the nature and properties of implicit regularization, understanding the nonconvex optimization landscape, and utilizing Neural Tangent Kernels (NTKs) to study the geometry of feature spaces. Addressing these challenges could lead...
An adaptive binary-tree element subdivision method for evaluation of volume integrals with continuous or discontinuous kernels. Eng. Anal. Bound. Elem. 2022, 134, 298–314. [Google Scholar] [CrossRef] Chi, B.; Jia, Z.; Li, C.; Guo, Q.; Yuan, W.; Ju, C. An adaptive element ...
using smoothing kernelsWa(r,ha) to distribute density around every atom position by a scaling factorsa. The smoothing kernel takes a vectorrto its center, and a radiushain which it has a nonzero contribution to the density field. Equation 1 is the sum of these smoothing kernels wi...