Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures

14 years 1 months ago

Download sccn.ucsd.edu

We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelihood.

Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Mak

Real-time Traffic

Artificial Intelligence | Blind Deconvolution | IDA 2009 | Probabilistic Model | Vector Analysis Approach |

claim paper

Related Content

» Probabilistic ICA for fMRI

» Probabilistic integration of joint density model and speaker model for voice conversion

» Using mixture models for collaborative filtering

» A Three Tiered Approach for Articulated Object Action Modeling and Recognition

» Regularizing the Local Similarity Discriminant Analysis Classifier

Post Info
More Details (n/a)

Added	26 May 2010
Updated	26 May 2010
Type	Conference
Year	2009
Where	IDA
Authors	Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig

Comments (0)

Sciweavers

Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures

Artificial Intelligence | Blind Deconvolution | IDA 2009 | Probabilistic Model | Vector Analysis Approach |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers