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ITCC
2003
IEEE
14 years 27 days ago
Cluster-Weighted Modeling as a basis for Fuzzy Modeling
The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the inpu...
Madasu Hanmandlu, Vamsi Krishna Madasu, Shantaram ...
IDA
2009
Springer
14 years 2 months ago
Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling
Underdetermined source separation is often carried out by modeling time-frequency source coefficients via a fixed sparse prior. This approach fails when the number of active sourc...
Emmanuel Vincent, Simon Arberet, Rémi Gribo...
ICASSP
2009
IEEE
13 years 11 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
ICDM
2008
IEEE
193views Data Mining» more  ICDM 2008»
14 years 2 months ago
Multiplicative Mixture Models for Overlapping Clustering
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
Qiang Fu, Arindam Banerjee
MVA
2002
195views Computer Vision» more  MVA 2002»
13 years 7 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee