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MICCAI
2010
Springer
13 years 5 months ago
Joint Generative Model for fMRI/DWI and Its Application to Population Studies
Abstract. We propose a novel probabilistic framework to merge information from DWI tractography and resting-state fMRI correlations. In particular, we model the interaction of late...
Archana Venkataraman, Yogesh Rathi, Marek Kubicki,...
INTERSPEECH
2010
13 years 2 months ago
A factorial sparse coder model for single channel source separation
We propose a probabilistic factorial sparse coder model for single channel source separation in the magnitude spectrogram domain. The mixture spectrogram is assumed to be the sum ...
Robert Peharz, Michael Stark, Franz Pernkopf, Yann...
IPPS
2006
IEEE
14 years 1 months ago
Formal modeling and analysis of wireless sensor network algorithms in Real-Time Maude
Advanced wireless sensor network algorithms pose challenges to their formal modeling and analysis, such as modeling probabilistic and real-time behaviors and novel forms of commun...
Peter Csaba Ölveczky, Stian Thorvaldsen
CSDA
2008
110views more  CSDA 2008»
13 years 7 months ago
Computing and using residuals in time series models
The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
José Alberto Mauricio
PAMI
2008
145views more  PAMI 2008»
13 years 7 months ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang