@PHDTHESIS\{IMM2002-0905,
    author       = "T. Kolenda",
    title        = "Adaptive tools in virtual environments: Independent component analysis for multimedia",
    year         = "2002",
    month        = "jan",
    keywords     = "independent component analysis, multimedia, text, image, classification, chat room",
    edition      = "1",
    school       = "Informatics and Mathematical Modelling, Technical University of Denmark",
    address      = "Richard Petersens Plads, Building 321, 2800 Kgs. Lyngby",
    type         = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/905-full.html",
    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."
}