On the post hoc explainability of optimized self-organizing reservoir network for action recognition
This work proposes a novel unsupervised self-organizing network, called the Self-Organizing Convolutional Echo State Network (SO-ConvESN), for learning node centroids and interconnectivity maps compatible with the deterministic initialization of Echo State Network (ESN) input and reservoir weights,...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/32764/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|