Multiscale image representation in deep learning
Deep learning is a very popular field of research which can input a variety of data types [1, 16, 30]. It is a subfield of machine learning consisting of mostly neural networks. A challenge which is very commonly met in the training of neural networks, especially when working with images is the vast...
Main Author: | Stander, Jean-Pierre |
---|---|
Other Authors: | Fabris-Rotelli, Inger Nicolette |
Language: | en |
Published: |
University of Pretoria
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/2263/78037 |
Similar Items
-
Statistical accuracy of an extraction algorithm for linear image objects
by: Thiede, Renate Nicole
Published: (2020) -
Bayesian inference of lower percentiles within strength modeling
by: Van Zyl, Christine Elizabeth
Published: (2021) -
On weighted Poisson distributions and processes, with associated inference and applications
by: Mijburgh, Philip Albert
Published: (2020) -
Multiscale analysis of multi-channel signals
by: Carlqvist, Håkan
Published: (2005) -
The bootstrap approach to autoregressive time series analysis
by: De Koster, Felicia Henriette
Published: (2013)