A Many-Objective Simultaneous Feature Selection and Discretization for LCS-Based Gesture Recognition
Discretization and feature selection are two relevant techniques for dimensionality reduction. The first one aims to transform a set of continuous attributes into discrete ones, and the second removes the irrelevant and redundant features; these two methods often lead to be more specific and concise...
Saved in:
Main Authors: | Martin J.-D. Otis, Julien Vandewynckel |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/e4bee5fc39f1484fbb1138c6f04c9c3e |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CARACTERIZACIÓN Y CLASIFICACIÓN BOTÁNICA DE VEINTIDOS LÍNEAS DE MANÍ (Arachis hypogaea L.) EVALUADAS EN LA PROVINCIA DE ÑUBLE, CHILE
by: Zapata,Nelson, et al.
Published: (2017) -
Optimization of Multimodal Discrete Network Design Problems Based on Super Networks
by: Yaling Zhou, et al.
Published: (2021) -
Study on Localized Surface Plasmon Coupling with Many Radiators
by: Zhizhong Chen, et al.
Published: (2021) -
Many-Body Localization and the Emergence of Quantum Darwinism
by: Nicolás Mirkin, et al.
Published: (2021) -
Characteristics of Miniaturized Air-Bearing Flying over Discrete Track Medium
by: Jianhua Li, et al.
Published: (2007)