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» Source Separation with Gaussian Process Models
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ICASSP
2009
IEEE
14 years 2 months ago
Interpolating hidden Markov model and its application to automatic instrument recognition
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Tuomas Virtanen, Toni Heittola
ICASSP
2009
IEEE
14 years 2 months ago
A complex cross-spectral distribution model using Normal Variance Mean Mixtures
We propose a model for the density of cross-spectral coefficients using Normal Variance Mean Mixtures. We show that this model density generalizes the corresponding marginal dens...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...
ICA
2010
Springer
13 years 6 months ago
Second Order Subspace Analysis and Simple Decompositions
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...
Harold W. Gutch, Takanori Maehara, Fabian J. Theis
ICSOC
2007
Springer
14 years 1 months ago
Let It Flow: Building Mashups with Data Processing Pipelines
Mashups are a new kind of interactive Web application, built out of the composition of two or more existing Web service APIs and data sources. Whereas “pure” mashups are built ...
Biörn Biörnstad, Cesare Pautasso
TMI
2010
122views more  TMI 2010»
13 years 5 months ago
Feature Based Nonrigid Brain MR Image Registration With Symmetric Alpha Stable Filters
—A new feature based nonrigid image registration method for magnetic resonance (MR) brain images is presented in this paper. Each image voxel is represented by a rotation invaria...
Shu Liao, Albert C. S. Chung