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IDA
2009
Springer
14 years 3 months ago
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures
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 Likelih...
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Mak...
ISBI
2004
IEEE
14 years 10 months ago
Probabilistic ICA for fMRI
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
Christian Beckmann
INTERSPEECH
2010
13 years 4 months ago
Probabilistic integration of joint density model and speaker model for voice conversion
This paper describes a novel approach to voice conversion using both a joint density model and a speaker model. In voice conversion studies, approaches based on Gaussian Mixture M...
Daisuke Saito, Shinji Watanabe, Atsushi Nakamura, ...
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 9 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
NIPS
2004
13 years 10 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes