@CONFERENCE\{IMM2010-05928,
    author       = "A. A. Nielsen and M. J. Canty",
    title        = "Linear and kernel methods for multi- and hypervariate change detection",
    year         = "2010",
    month        = "sep",
    booktitle    = "{SPIE} Europe Remote Sensing Conference 7830",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    note         = "Invited contribution",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5928-full.html",
    abstract     = "The paper gives an overview of unsupervised, automatic change detection methods particularly the {MAD} method which is based on an iterated version of canonical correlation analysis with subsequent post-processing by means of linear and kernel versions of principal component analysis, maximum autocorrelation factor analysis, and minimum noise fraction analysis."
}