@inproceedings{a530898e735740adbf0abbfd5a6037bb,
title = "Visualising and clustering video data",
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 [6]. We show visualisation and clustering results on a data set composed of video data of lips uttering 5 Korean vowels and show that the new mapping achieves better results than the standard Self-Organizing Map.",
author = "Colin Fyfe and Ooi, {Wei Chuang} and Hanseok Ko",
year = "2007",
doi = "10.1007/978-3-540-77226-2_35",
language = "English",
isbn = "9783540772255",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "335--344",
booktitle = "Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings",
note = "8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007 ; Conference date: 16-12-2007 Through 19-12-2007",
}