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
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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