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- Hagai Attias
aka: Hagai Thomas Attias
Golden Metallic Inc., San Francisco
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Publication search results
found 58 matches
- 2013
- Hagai Thomas Attias:
M/EEG imaging by learning mean norms in brain tiles. ISBI 2013: 548-551 - 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: 560-563 - Hagai Attias:
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes. CoRR abs/1301.6676 (2013) - 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): 305-323 (2012) - 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: 1538-1541 - Kensuke Sekihara, Hagai Attias, Julia P. Owen, Srikantan S. Nagarajan:
Effectiveness of sparse Bayesian algorithm for MVAR coefficient estimation in MEG/EEG source-space causality analysis. CoRR abs/1211.3211 (2012) - 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): 641-655 (2010) - Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Topic regression multi-modal Latent Dirichlet Allocation for image annotation. CVPR 2010: 3408-3415 - Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Supervised topic model for automatic image annotation. ICASSP 2010: 1894-1897 - Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan:
Sparse Spatio-temporal Inference of Electromagnetic Brain Sources. MLMI 2010: 157-164 - 2009
- Jiucang Hao, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee, Terrence J. Sejnowski:
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. IEEE Trans. Speech Audio Process. 17(1): 24-37 (2009) - Tulaya Limpiti, Barry D. Van Veen, Hagai Attias, Srikantan S. Nagarajan:
A Spatiotemporal Framework for Estimating Trial-to-Trial Amplitude Variation in Event-Related MEG/EEG. IEEE Trans. Biomed. Eng. 56(3): 633-645 (2009) - Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Independent factor topic models. ICML 2009: 833-840 - Julia P. Owen, David P. Wipf, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Robust Methods for Reconstructing Brain Activity and Functional Connectivity Between Brain Sources with MEG/EEG Data. ISBI 2009: 1271-1274 - 2008
- 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): 924-940 (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): 508-519 (2008) - David P. Wipf, Julia P. Owen, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG. NIPS 2008: 1777-1784 - 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): 102-115 (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): 1993-2004 (2007) - Li Deng, Leo J. Lee, Hagai Attias, Alex Acero:
Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model. IEEE Trans. Speech Audio Process. 15(1): 13-23 (2007) - 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): 70-79 (2007) - Duangmanee Putthividhya, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee:
Probabilistic Graphical Model for Auto-Annotation, Content-Based Retrieval, and Classification of TV Clips Containing Audio, Video, and Text. ICASSP (2) 2007: 789-792 - 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): 400-416 (2006) - Kenneth E. Hild II, Hagai Attias, Srikantan S. Nagarajan:
An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model. ICA 2006: 98-105 - Srikantan S. Nagarajan, Hagai Attias, Kensuke Sekihara, Kenneth E. Hild II:
Partitioned Factor Analysis for Interference Suppression and Source Extraction. ICA 2006: 189-197 - Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee:
Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. ICASSP (5) 2006: 677-680 - Hagai Thomas Attias:
A probabilistic graphical model for microphone array source separation using rich pre-trained source models. INTERSPEECH 2006 - Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Two probabilistic algorithms for MEG/EEG source reconstruction. ISBI 2006: 940-943 - 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: 1625-1632 - 2005
- Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee:
Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. ICASSP (5) 2005: 525-528
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