Browsing Researchers by Subject "Feature selection"
Now showing items 1-3 of 3
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Comparing the classification performance of multi sensor data fusion based on feature extraction and feature selection
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Linear discriminant analysis (LDA) has been widely used in the classification of multi sensor data fusion. This paper discusses the performance of LDA when the classifications were performed based on feature extraction ... -
A new hybrid intelligent system for accurate detection of Parkinson's disease
(Elsevier, 2014-03)Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in ... -
Optimal selection of long time acoustic features using GA for the assessment of vocal fold disorders
(Trans Tech Publications, 2013)In recent times, vocal fold problems have been increasing dramatically due to unhealthy social habits and voice abuse. Non-invasive methods like acoustic analysis of voice signals can be used to investigate such problems. ...