Adaptive tools in virtual environments: Independent component analysis for multimedia

Thomas Kolenda

AbstractThe 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.
Keywordsindependent component analysis, multimedia, text, image, classification, chat room
TypePh.D. thesis [Academic thesis]
Year2002    Month January    Ed. 1
PublisherInformatics and Mathematical Modelling, Technical University of Denmark
AddressRichard Petersens Plads, Building 321, 2800 Kgs. Lyngby
Electronic version(s)[pdf] [zip]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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