High-dimensional sparse image characterization method based on deep semi-supervised learning framework
The invention discloses a high-dimensional sparse image representation method based on a deep semi-supervised learning framework. The method comprises the following steps: 1) initializing a Semi-DRRBM model parameter theta; 2) obtaining features of a sample hidden layer; 3) using reconstructed visib...
Saved in:
Main Authors | , , , , , , , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
18.07.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!