Hagai Thomas Attias

Publication Activity (10 Years)

Years Active: 2006-2013
Publications (10 Years): 0

Top Topics

Prior Information

Hierarchical Bayesian

Top Venues

Publications

Carsten Stahlhut, Hagai Thomas Attias, Kensuke Sekihara, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan
A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors. ISBI (2013)
Hagai Thomas Attias
M/EEG imaging by learning mean norms in brain tiles. ISBI (2013)
Carsten Stahlhut, Hagai Thomas Attias, Arkadiusz Stopczynski, Michael Kai Petersen, Jakob Eg Larsen, Lars Kai Hansen
An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality. EMBC (2012)
Julia P. Owen, David P. Wipf, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan
Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG data. NeuroImage 60 (1) (2012)
Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan
Topic regression multi-modal Latent Dirichlet Allocation for image annotation. CVPR (2010)
David P. Wipf, Julia P. Owen, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan
Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG. NeuroImage 49 (1) (2010)
Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan
Supervised topic model for automatic image annotation. ICASSP (2010)
Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan
Independent factor topic models. ICML (2009)
Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan
Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data. NeuroImage 41 (3) (2008)
Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan
An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model. IEEE Trans. Neural Networks 19 (3) (2008)
Taesu Kim, Hagai Thomas Attias, Soo-Young Lee, Te-Won Lee
Blind Source Separation Exploiting Higher-Order Frequency Dependencies. IEEE Trans. Speech Audio Process. 15 (1) (2007)
Kenneth E. Hild II, Hagai Thomas Attias, Silvia Comani, Srikantan S. Nagarajan
Fetal cardiac signal extraction from magnetocardiographic data using a probabilistic algorithm. Signal Process. 87 (8) (2007)
Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan
A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data. NeuroImage 37 (1) (2007)
Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data. NIPS (2006)
Srikantan S. Nagarajan, Hagai Thomas Attias, Kenneth E. Hild II, Kensuke Sekihara
A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity. NeuroImage 30 (2) (2006)
Hagai Thomas Attias
A probabilistic graphical model for microphone array source separation using rich pre-trained source models. INTERSPEECH (2006)