Hagai Attias

According to our database, Hagai Attias authored at least 56 papers between 1996 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2013

A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors.

Carsten Stahlhut, Hagai Thomas Attias, Kensuke Sekihara, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

M/EEG imaging by learning mean norms in brain tiles.

Hagai Thomas Attias

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG data.

Julia P. Owen, David P. Wipf, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan

NeuroImage, 2012

Effectiveness of sparse Bayesian algorithm for MVAR coefficient estimation in MEG/EEG source-space causality analysis

Kensuke Sekihara, Hagai Attias, Julia P. Owen, Srikantan S. Nagarajan

CoRR, 2012

An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality.

Carsten Stahlhut, Hagai Thomas Attias, Arkadiusz Stopczynski, Michael Kai Petersen, Jakob Eg Larsen, Lars Kai Hansen

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010

Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG.

David P. Wipf, Julia P. Owen, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan

NeuroImage, 2010

Sparse Spatio-temporal Inference of Electromagnetic Brain Sources.

Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan

Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Supervised topic model for automatic image annotation.

Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan

Proceedings of the IEEE International Conference on Acoustics, 2010

Topic regression multi-modal Latent Dirichlet Allocation for image annotation.

Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

A Spatiotemporal Framework for Estimating Trial-to-Trial Amplitude Variation in Event-Related MEG/EEG.

Tulaya Limpiti, Barry D. Van Veen, Hagai Attias, Srikantan S. Nagarajan

IEEE Trans. Biomed. Eng., 2009

Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation.

Jiucang Hao, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee, Terrence J. Sejnowski

IEEE Trans. Speech Audio Process., 2009

Robust Methods for Reconstructing Brain Activity and Functional Connectivity Between Brain Sources with MEG/EEG Data.

Julia P. Owen, David P. Wipf, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Independent factor topic models.

Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model.

Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan

IEEE Trans. Neural Networks, 2008

Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data.

Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan

NeuroImage, 2008

Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG.

David P. Wipf, Julia P. Owen, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Blind Source Separation Exploiting Higher-Order Frequency Dependencies.

Taesu Kim, Hagai Thomas Attias, Soo-Young Lee, Te-Won Lee

IEEE Trans. Speech Audio Process., 2007

Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model.

Li Deng, Leo J. Lee, Hagai Attias, Alex Acero

IEEE Trans. Speech Audio Process., 2007

Fetal cardiac signal extraction from magnetocardiographic data using a probabilistic algorithm.

Kenneth E. Hild II, Hagai Thomas Attias, Silvia Comani, Srikantan S. Nagarajan

Signal Process., 2007

A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data.

Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan

NeuroImage, 2007

Probabilistic Graphical Model for Auto-Annotation, Content-Based Retrieval, and Classification of TV Clips Containing Audio, Video, and Text.

Duangmanee Putthividhya, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity.

Srikantan S. Nagarajan, Hagai Thomas Attias, Kenneth E. Hild II, Kensuke Sekihara

NeuroImage, 2006

Two probabilistic algorithms for MEG/EEG source reconstruction.

Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

A probabilistic graphical model for microphone array source separation using rich pre-trained source models.

Hagai Thomas Attias

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies.

Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Partitioned Factor Analysis for Interference Suppression and Source Extraction.

Srikantan S. Nagarajan, Hagai Attias, Kensuke Sekihara, Kenneth E. Hild II

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model.

Kenneth E. Hild II, Hagai Attias, Srikantan S. Nagarajan

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity.

Srikantan S. Nagarajan, Hagai Attias, Kenneth E. Hild II, Kensuke Sekihara

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model.

Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

A multimodal variational approach to learning and inference in switching state space models [speech processing application].

Leo J. Lee, Hagai Attias, Li Deng, Paul W. Fieguth

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Single microphone source separation using high resolution signal reconstruction.

Trausti T. Kristjansson, Hagai Attias, John R. Hershey

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Audio-visual graphical models for speech processing.

John R. Hershey, Hagai Attias, Nebojsa Jojic, Trausti T. Kristjansson

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances.

Li Deng, Leo J. Lee, Hagai Attias, Alex Acero

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Stereo Based 3D Tracking and Scene Learning, Employing Particle Filtering within EM.

Trausti T. Kristjansson, Hagai Attias, John R. Hershey

Proceedings of the Computer Vision, 2004

2003

A Graphical Model for Audiovisual Object Tracking.

Matthew J. Beal, Nebojsa Jojic, Hagai Attias

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Variational inference and learning for segmental switching state space models of hidden speech dynamics.

Leo J. Lee, Hagai Attias, Li Deng

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

New EM algorithms for source separation and deconvolution with a microphone array.

Hagai Attias

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Planning by Probabilistic Inference.

Hagai Attias

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Source Separation with a Sensor Array Using Graphical Models and Subband Filtering.

Hagai Attias

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A new approach to speech enhancement by a microphone array using EM and mixture models.

Hagai Attias, Li Deng

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Audio Watermark Robustness to Desynchronization via Beat Detection.

Darko Kirovski, Hagai Attias

Proceedings of the Information Hiding, 5th International Workshop, 2002

A self-calibrating algorithm for speaker tracking based on audio-visual statistical models.

Matthew J. Beal, Nebojsa Jojic, Hagai Attias

Proceedings of the IEEE International Conference on Acoustics, 2002

Audio-Video Sensor Fusion with Probabilistic Graphical Models.

Matthew J. Beal, Hagai Attias, Nebojsa Jojic

Proceedings of the Computer Vision, 2002

Beat-ID: identifying music via beat analysis.

Darko Kirovski, Hagai Attias

Proceedings of the IEEE 5th Workshop on Multimedia Signal Processing, 2002

2001

A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise.

Hagai Attias, Li Deng, Alex Acero, John C. Platt

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Learning in high dimensions: modular mixture models.

Hagai Attias

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

Speech Denoising and Dereverberation Using Probabilistic Models.

Hagai Attias, John C. Platt, Alex Acero, Li Deng

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Independent Factor Analysis.

Hagai Attias

Neural Comput., 1999

Inferring Parameters and Structure of Latent Variable Models by Variational Bayes.

Hagai Attias

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Independent Factor Analysis with Temporally Structured Sources.

Hagai Attias

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

A Variational Baysian Framework for Graphical Models.

Hagai Attias

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Hierarchical IFA Belief Networks.

Hagai Attias

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Blind Source Separation and Deconvolution: the Dynamic Component Analysis Algorithm.

Hagai Attias, Christoph E. Schreiner

Neural Comput., 1998

Learning a Hierarchical Belief Network of Independent Factor Analyzers.

Hagai Attias

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

Coding of Naturalistic Stimuli by Auditory Midbrain Neurons.

Hagai Attias, Christoph E. Schreiner

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Temporal Low-Order Statistics of Natural Sounds.

Hagai Attias, Christoph E. Schreiner

Proceedings of the Advances in Neural Information Processing Systems 9, 1996