Cart (Loading....) | Create Account
Close category search window

Self-organizing Map vs. Spectral Clustering on Visual Feature Extraction for Human Interface

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Tsuruta, N. ; Dept. of Electron. Eng., Fukuoka Univ. ; Aly, S.K.H. ; Maeda, S. ; Takahashi, S.
more authors

Tasks of image recognition become important components for multi-modal interface. For developing feasible components, problems of huge dimensionality and non-linearity must be resolved. Image recognition consists of three stages: calibration stage, feature extraction (or representation) stage and recognition stage. For recognition stage, state of the art methods including nonlinear methods were proposed. On the other hand, linear methods, such as principle component analysis and linear discriminant method, are commonly used yet for feature extraction stage. Self-organizing feature map and spectral clustering are candidates of the non-linear feature extraction. Both methods have many empirical successes because of their simplicity and non-linearity. In this paper, we analyze characteristic of those methods. A summary of their characteristics shows the possibility to combine the both methods into a new approach. To clarify the importance of this topic, we also describe an overview of our multi-modal interface including lip-reading.

Published in:

Strategic Technology, The 1st International Forum on

Date of Conference:

18-20 Oct. 2006

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.