Informatics and Mathematical Modelling (2008)
Tue Lehn-schiøler, Jerónimo Arenas-garcía, Kaare Br, T Petersen, Lars Kai Hansen
This demonstration illustrates how the methods developed in the MIR community can be used to provide real-time feedback to music users. By creating a genre classifier plugin for a popular media...
Multivariate Analysis and Kernel Methods for Music Data Analysis (2008)
Jerónimo Arenas-garcía, Anders Meng, Kaare Br, T Petersen, Lars Kai Hansen
There is an increasing interest in customizable methods for organizing music collections. Relevant music characterization can be obtained from short-time features, but it is not obvious how to...
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets (2007)
Jerónimo Arenas-garcía, Kaare Br, T Petersen, Lars Kai Hansen
In this paper we are presenting a novel multivariate analysis method. Our scheme is based on a novel kernel orthonormalized partial least squares (PLS) variant for feature extraction, imposing...
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets (2007)
Jerónimo Arenas-garcía, Kaare Br, T Petersen, Lars Kai Hansen
In this paper we are presenting a novel multivariate analysis method. Our scheme is based on a novel kernel orthonormalized partial least squares (PLS) variant for feature extraction, imposing...
Mel Frequency Cepstral Coefficients: An Evaluation of Robustness of MP3 Encoded Music (2006)
Sigurdur Sigurdsson, Kaare Br, T Petersen, Tue Lehn-schiøler
In large MP3 databases, files are typically generated with different parameter settings, i.e., bit rate and sampling rates. This is of concern for MIR applications, as encoding difference can...
Ole Winther, Kaare Br, T Petersen
In this paper we present an empirical Bayes method for flexible and efficient Independent Component Analysis (ICA). The method is flexible with respect to choice of source prior, dimensionality and...
Kaare Br, T Petersen, Ole Winther, Kaare Brandt Petersen, Kaare Brandt Petersen, Kaare Brandt Petersen, ...
Linear mixing and gaussian noise
Flexible and Efficient Implementations of Bayesian Independent Component Analysis (2005)
Variational Methods, Ole Winther, Phd Kaare Br, T Petersen, Ole Winther, Kaare Br, ...
Abstract: In this paper we present an empirical Bayes method for flexible and efficient Independent Component Analysis (ICA). The method is flexible with respect to choice of source prior,...