PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Jan Larsen

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Number of EPrints submitted by this user: 8

Basics of bayesian learning - basically bayes
Jan Larsen
In: IEEE Workshop on Machine Learning for Signal Processing 2006, 6-8 Sep 2006, Maynooth, Ireland.

Clustering via Kernel Decomposition
Anna Szymkowiak-Have, Mark Girolami and Jan Larsen
IEEE Transactions on Neural Networks Volume 17, Number 1, pp. 256-264, 2006.

Proceedings of IEEE Machine Learning for Signal Processing Workshop XVI
Sean McLoone, Tülay Adali, Jan Larsen, Marc Van Hulle, Allan Rogers and Scott Douglas, ed. (2006) IEEE , Piscataway, New Jersey . ISBN 1-4244-0657-9

On Data and Parameter Estimation Using the Variational Bayesian EM-algorithm for Block-fading Frequency-selective MIMO Channels
Lars Christensen and Jan Larsen
Proceesings of ICASSP Volume IV, pp. 465-468, 2006. ISSN 1520-6149

Basics of Bayesian Learning - Basically Bayes
Jan Larsen
In: IEEE Workshop on Machine Learning for Signal Processing, 6-8 Sep 2006, Maynooth, Ireland.

Algorithms for source separation - with cocktail party applications
Rasmus Olsson
(2007) PhD thesis, Tehcn. Univ. of Denmark.

Proceedings of the IEEE machine learning for signal processing XVII
K. Diamantaras, T. Adali, I. Pitas, Jan Larsen, T. Papadimitriou and S. Douglas, ed. (2007) Machine Learning for Signal Processing . IEEE Press , NJ, USA . ISBN ISBN: 1 4244 1566 7

Discovering music structure via similarity fusion
J. Arenas-García, E. Parrado-Hernandez, Anders Meng, Jan Larsen and L.K. Hansen
In: NIPS 2007 Workshop on on Music, Brain & Cognition: Learning the Structure of Music and its Effects on the Brain, 7-8 Dec 2007, Whistler, Canada.