@MISC\{IMM2005-04011,
    author       = "A. Meng and J. Shawe-Taylor",
    title        = "An Investigation of feature models for music genre classification using the support vector classifier",
    year         = "2005",
    keywords     = "Product probability kernel, Convolution kernel, multivariate autoregressive model, {SVM,} Support Vector machine",
    publisher    = "",
    address      = "London",
    note         = "Poster presented at the conference",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/4011-full.html",
    abstract     = "The purpose of this work is two-fold:
1. To investigate the multivariate Gaus-
sian model and multivariate autoregressive
model for modelling short time features
(e.g. mel frequency cepstral coefficients)
over a segment of audio.
2. Investigate how these two models can be
formulated in a kernel framework."
}