The Cluster-based Learning of Support Vector Machines and Its Application in Text-Independent Speaker Identification

碩士 === 國立交通大學 === 資訊工程系所 === 92 === Based on Statistical learning theory, Support Vector Machine(SVM) is a powerful tool for various classification problems, such as pattern recognition and speaker identification etc. However, training SVM consumes large memory and long computing time. This paper pr...

Full description

Bibliographic Details
Main Authors: Sheng-Yu Sun, 孫聖育
Other Authors: Hsin-Chia Fu
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/15106037804050178401