Density Based Mode Within Radius and Its Application to EEG based Emotion Recognition
Statistical parameters such as center points are widely used to represent patterns in machine learning. There are three popular center points: mean, median, and mode. Mean and median are pervasively used as features to represent patterns, but mode is not because of its weakness. One of the major pro...
Saved in:
| Main Authors: | Parampuneet Thind, Vaibhav Katturu, Teryn Cha, Sung-Hyuk Cha |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2021-04-01
|
| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Subjects: | |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/128558 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Emotion recognition of EEG based on EEMD and LeNet-5
by: Cai Jing, et al.
Published: (2022-05-01) -
Kernel Density Based Spatial Clustering of Applications with Noise
by: Rohan Kalpavruksha, et al.
Published: (2025-05-01) -
Towards EEG-based Emotion Recognition During Video Viewing
by: Christoforos Christoforou, et al.
Published: (2021-04-01) -
An Effective Deep Neural Network Architecture for EEG-Based Recognition of Emotions
by: Khadidja Henni, et al.
Published: (2025-01-01) -
Frequency-Domain Hybrid Model for EEG-Based Emotion Recognition
by: Jinyu Liu, et al.
Published: (2025-03-01)