https://www.mdpi.com/1424-8220/20/21/6229
Convolution Kernel Operations on a Two-Dimensional Spin Memristor Cross Array
In recent years, convolution operations often consume a lot of time and energy in deep learning algorithms, and convolution is usually used to remove noise or...
convolution kernela twooperations
https://odysee.com/@peeterjoot:b/2022_02_21__Evaluating_the_Fourier_convolution_kernel_for_the_forced_damped_harmonic_oscillator:3
Evaluating the Fourier convolution kernel for the forced damped harmonic oscillator
This is the second video in a series discussing Green's function solution to the one dimensional forced damped harmonic oscillator equation.
convolution kernelevaluatingfourierforceddamped
https://openreview.net/forum?id=e8EkYPDHrsY
Learning with convolution and pooling operations in kernel methods | OpenReview
We describe the generalization properties of a one-layer convolutional kernel with pooling and downsampling.
kernel methodslearningconvolutionpoolingoperations
https://arxiv.org/abs/2206.06264v1
[2206.06264v1] Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
Abstract page for arXiv paper 2206.06264v1: Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
dilated convolution2206automaticpolypsegmentation
https://openreview.net/forum?id=J0zi7_8ZIv1
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process | OpenReview
Kernels on discrete structures evaluate pairwise similarities between objects which capture semantics and inherent topology information. Existing kernels on...
based on