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» Learning Mixtures of DAG Models
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ICASSP
2010
IEEE
13 years 10 months ago
Sound source separation in monaural music signals using excitation-filter model and em algorithm
This paper proposes a method for separating the signals of individual musical instruments from monaural musical audio. The mixture signal is modeled as a sum of the spectra of ind...
Anssi Klapuri, Tuomas Virtanen, Toni Heittola
CORR
2006
Springer
101views Education» more  CORR 2006»
13 years 10 months ago
MDL Convergence Speed for Bernoulli Sequences
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
Jan Poland, Marcus Hutter
IROS
2009
IEEE
140views Robotics» more  IROS 2009»
14 years 4 months ago
Transferring embodied concepts between perceptually heterogeneous robots
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
Zsolt Kira
ICASSP
2008
IEEE
14 years 4 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
ICPR
2006
IEEE
14 years 11 months ago
GMM-based SVM for face recognition
A new face recognition algorithm is presented. It supposes that a video sequence of a person is available both at enrollment and test time. During enrollment, a client Gaussian Mi...
Gérard Chollet, Hervé Bredin, Najim ...