Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/3139
Title: | Gender classification from face images using support vector machine | Authors: | Phyu Phyu Thant. | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems | Issue Date: | 2004 | Abstract: | Investigated the performance of support vector machine on gender categorization using images. Radial Basic Kernel and two parameters of the RBF kernel were chosen. By using random selection of images for training the classifier in a series of runs, the accuracies were determined. | URI: | http://hdl.handle.net/10356/3139 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
EEE-THESES_1030.pdf Restricted Access | 11.92 MB | Adobe PDF | View/Open |
Page view(s) 50
570
Updated on Mar 27, 2024
Download(s)
8
Updated on Mar 27, 2024
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.