Adaptive tools in virtual environments: Independent component analysis for multimedia | Thomas Kolenda
| | Abstract | The thesis investigates the role of independent component analysis
in the setting of virtual environments, with the purpose of
finding properties that reflect human context. A general framework
for performing unsupervised classification with ICA is presented
in extension to the latent semantic indexing model. Evidence is
found that the separation by independence presents a hierarchical
structure that relates to context in a human sense. Furthermore,
introducing multiple media modalities, a combined structure was
found to reflect context description at multiple levels. Different
ICA algorithms were compared to investigate computational
differences and separation results. The ICA properties were
finally implemented in a chat room analysis tool and briefly
investigated for visualization of search engines results. | | Keywords | independent component analysis, multimedia, text, image, classification, chat room | | Type | Ph.D. thesis [Academic thesis] | | Year | 2002 Month January Ed. 1 | | Publisher | Informatics and Mathematical Modelling, Technical University of Denmark | | Address | Richard Petersens Plads, Building 321, 2800 Kgs. Lyngby | | Series | IMM-PHD-2003-94 | | Electronic version(s) | [pdf] [zip] | | BibTeX data | [bibtex] | | IMM Group(s) | Intelligent Signal Processing |
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