Multi-Dimensional Definition of Convolution
Convolution is an indispensable operation for solving problems from a variety of subject areas: machine learning problems, data analysis, signal processing, image processing filters. However, due to the complexity of the algorithms that implement them, in practice, even three-dimensional convolution...
Main Author: | Evgeniy Goncharov |
---|---|
Format: | Article |
Language: | Russian |
Published: |
The Fund for Promotion of Internet media, IT education, human development «League Internet Media»
2021-09-01
|
Series: | Современные информационные технологии и IT-образование |
Subjects: | |
Online Access: | http://sitito.cs.msu.ru/index.php/SITITO/article/view/772 |
Similar Items
-
Implementation of (λ, µ)-Convolution Product by Means of Tensordot Operation from Libraries for Tensor Algebra
by: Evgeniy I. Goncharov
Published: (2022-12-01) -
Localisation of facts compensator using reptile search algorithm for enhancing power system security under multi‐contingency conditions
by: Sumit Ramswami Punam, et al.
Published: (2023-09-01) -
Singular Value Decomposition of Spatial Matrices
by: Pavel Iljin, et al.
Published: (2022-10-01) -
Transfer learning from T1‐weighted to T2‐weighted Magnetic resonance sequences for brain image segmentation
by: Imene Mecheter, et al.
Published: (2024-02-01) -
Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things
by: Meixia Fu, et al.
Published: (2023-05-01)