TOPOLOGICAL MAPPINGS OF VIDEO AND AUDIO DATA
- Authors
- Fyfe, Colin; Barbakh, Wesam; Ooi, Wei Chuan; Ko, Hanseok
- Issue Date
- 12월-2008
- Publisher
- WORLD SCIENTIFIC PUBL CO PTE LTD
- Citation
- INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, v.18, no.6, pp.481 - 489
- Indexed
- SCIE
SCOPUS
- Journal Title
- INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
- Volume
- 18
- Number
- 6
- Start Page
- 481
- End Page
- 489
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/122305
- DOI
- 10.1142/S0129065708001749
- ISSN
- 0129-0657
- Abstract
- We review a new form of self-organizing map which is based on a nonlinear projection of latent points into data space, identical to that performed in the Generative Topographic Mapping (GTM).(1) But whereas the GTM is an extension of a mixture of experts, this model is an extension of a product of experts. 2 We show visualisation and clustering results on a data set composed of video data of lips uttering 5 Korean vowels. Finally we note that we may dispense with the probabilistic underpinnings of the product of experts and derive the same algorithm as a minimisation of mean squared error between the prototypes and the data. This leads us to suggest a new algorithm which incorporates local and global information in the clustering. Both ot the new algorithms achieve better results than the standard Self-Organizing Map.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.