@CONFERENCE\{IMM2006-04141,
    author       = "L. K. Hansen and L. Feng",
    title        = "Cogito Componentiter Ergo Sum",
    year         = "2006",
    month        = "mar",
    keywords     = "Cognition, independent component analysis, machine learning, statistics",
    pages        = "446 - 453",
    booktitle    = "ICA2006 - 6th International Conference on Independent Component Analysis and Blind Source Separation",
    volume       = "",
    series       = "",
    editor       = "J. Rosca et al.",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/4141-full.html",
    abstract     = "Cognitive component analysis (COCA) is defined as the process of unsupervised grouping of data such that the ensuing group structure is well-aligned with that resulting from human cognitive activity. We present evidence that independent component analysis of abstract data such as text, social interactions, music, and speech leads to low level cognitive components.",
    isbn_issn    = "3-540-32630-8"
}