Speech, Audio and Video Processing

• D Putthividhya, HT Attias, SS Nagarajan. Topic-Regression Multi-modal Latent Dirichlet Allocation for Image and Video Annotation. Proceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition, 2010.
• D Putthividhya, HT Attias, SS Nagarajan. Supervised Topic Models for Automatic Image Annotation. Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2010.
• D Putthividhya, HT Attias, SS Nagarajan. Independent Factor Topic Models. Proceegins of the 26th International Conference on Machine Learning, 2009.
• T Kim, HT Attias, SY Lee, TW Lee. Blind source separation exploiting higher-order frequency dependencies. IEEE Transactions on Audio, Speech and Language Processing 15(1), 2007.
• D Putthividhya, HT Attias, SS Nagarajan, TW Lee. Probabilistic graphical model for Auto-Annotation, Content-based Retrieval, and Classification of TV clips containing Audio, Video, and Text. Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007.
• T Kim, HT Attias, SY Lee, TW Lee. Frequency domain blind source separation exploiting higher-order dependencies. Proceedings of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006.
• L Deng, LJ Lee, H Attias, A Acero. Adaptive Kalman filtering and smoothing for tracking vocal tract resonances using a continuous valued hidden dynamic model. IEEE Transactions on Speech and Audio Processing, 2006.
• T Kim, H Attias, TW Lee. Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
• T Kristjansson, H Attias, JR Hershey. Stereo based 3D tracking and learning using EM and particle filtering. Proceedings of the 18th European Conference on Computer Vision, 2004.
• JR Hershey, T Kristjansson, H Attias. Single microphone source separation using high resolution signal reconstruction. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
• JR Hershey, H Attias, T Kristjansson, N Jojic. Audio-visual graphical models for speech processing. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
• LJ Lee, H Attias, L Deng. A multimodal variational approach to learning and inference in switching state space models. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
• LJ Lee, H Attias, L Deng, A Acero. A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
• LJ Lee, H Attias, L Deng. Variational inference and learning for segmental switching state space models of hidden speech dynamics. Proceedings of the IEEE 2003 International Conference on Acoustics, Speech, and Signal Processing, 2003.
• MJ Beal, N Jojic, H Attias. A graphical model for audio-visual object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence (Special section on graphical models in computer vision), 828-836, 2003.
• H Attias. New EM algorithms for source separation and deconvolution. Proceedings of the IEEE 2003 International Conference on Acoustics, Speech, and Signal Processing, 2003.
• H Attias. Source separation with a sensor array using graphical models and subband filtering. Advances in Neural Information Processing Systems 15, 2002.
• D Kirovski, H Attias. Beat-ID: Identifying music via beat analysis. Proceedings of the 5th IEEE International Workshop on Multimedia Signal Processing, 2002.
• D Kirovski, H Attias. Audio watermark robustness to desynchronization via beat detection. Proceedings of the 5th International Workshop on Information Hiding (Lecture Notes in Computer Science 2578), 160-176, 2002.
• H Attias, L Deng. A new approach to speech enhancement with a microphone array using EM and mixture models. Proceedings of the 7th International Conference on Spoken Language Processing, 2002.
• MJ Beal, H Attias, N Jojic. Audio-video sensor fusion with probabilistic graphical models. Proceedings of the 7th European Conference on Computer Vision (Lecture Notes in Computer Science 2350), 736-752, 2002.
• MJ Beal, N Jojic, H Attias. A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. Proceedings of the 2002 IEEE International Conference on Acoustics, Speech,and Signal Processing, 2002.
• H Attias, L Deng, A Acero, JC Platt. A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise. Proceedings of the 7th European Conference on Speech Communication and Technology, 2001.
• H Attias, JC Platt, A Acero, L Deng. Speech denoising and dereverberation using probabilistic models. Advances in Neural Information Processing Systems 13, 758-764, 2001.
• H Attias. Blind source separation by dynamic graphical models. Proceedings of the 9th International Conference on Artificial Neural Networks, 126-131, 1999.
• H Attias. EM algorithms for independent component analysis. Neural Networks for Signal Processing VIII: Proceedings of the 1998 IEEE Workshop, 132-141, 1998.
• H Attias, CE Schreiner. Blind source separation and deconvolution by dynamic component analysis. Neural Networks for Signal Processing VII: Proceedings of the 1997 IEEE Workshop, 456-465, 1997.

Biomedical Imaging

• DP Wipf, JP Owen, HT Attias, K Sekihara, SS Nagarajan. Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG. Neuroimage 49, 641-655, 2010.
• DP Wipf, JP Owen, HT Attias, K Sekihara, SS Nagarajan. Estimating the location and orientation of complex, correlated neural activity using MEG. Advances in Neural Information Processing Systems 22, 2009.
• JP Owen, DP Wipf, HT Attias, K Sekihara, SS Nagarajan. Robust methods for reconstructing brain activity and functional connectivity from MEG data. Proceedings of the Joint 7th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart & 7th International Conference on Bioelectromagnetism, 2009.
• JP Owen, DP Wipf, HT Attias, K Sekihara, SS Nagarajan. Accurate reconstruction of brain activity and functional connectivity from noisy MEG data. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1: 65-68, 2009.
• JP Owen, DP Wipf, HT Attias, K Sekihara, SS Nagarajan. Robust Methods for reconstructing brain activity and functional connectivity between brain sources with MEG data. Proceedings of the 6th IEEE International Symposium on Biomedical Imaging, 2009.
• JM Zumer, HT Attias, K Sekihara, SS Nagarajan. Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data. Neuroimage 41, 924-40, 2008.
• JM Zumer, HT Attias, K Sekihara, SS Nagarajan. A probabilistic algorithm for interference suppression and source reconstruction from MEG/EEG data. Neuroimage 37, 102-115, 2007.
• JM Zumer, HT Attias, K Sekihara, SS Nagarajan. A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data. Advances in Neural Information Processing Systems 20, 2007.
• KE Hild, HT Attias, S Comani, SS Nagarajan. Fetal cardiac signal extraction from magnetocardiographic data using a probabilistic algorithm. Signal Processing 8(1): 1993-2004, 2007.
• SS Nagarajan, HT Attias, KE Hild, K Sekihara. A Probabilistic Algorithm for Robust Interference Suppression in Bioelectromagnetic sensor data. Statistics in Medicine 26(21): 3886-3910, 2007.
• SS Nagarajan, HT Attias, KE Hild, K Sekihara. A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity. Neuroimage 30, 400-416, 2006.
• SS Nagarajan, HT Attias, KE Hild, K Sekihara. Stimulus evoked independent factor analysis of MEG data with large background activity. Advances in Neural Information Processing Systems 19, 2006.
• JM Zumer, HT Attias, K Sekihara, SS Nagarajan. Two probabilistic algorithms for MEG/EEG source reconstruction. Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging, 2006.
• KE Hild, HT Attias, SS Nagarajan. An EM method for spatiotemporal blind source separation using an ARMOG source model. Proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, 2006.
• SS Nagarajan, HT Attias, KE Hild, K Sekihara. Partitioned Factor Analysis for Interference Suppression and Source Extraction. Proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, 189-197, 2006.
• KE Hild, HT Attias, SS Nagarajan, K Sekihara. A graphical model for estimating stimulus evoked brain responses in noisy MEG data with large background brain activity. Proceedings of the Joint 5th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart & 5th International Conference on Bioelectromagnetism, 2005.
• H Attias, CE Schreiner. Coding of naturalistic stimuli by auditory midbrain neurons. Advances in Neural Information Processing Systems 10, 103-109, 1998.
• H Attias, CE Schreiner. Low-order temporal statistics of natural sounds. Advances in Neural Information Processing Systems 9, 27-33, 1997.

Machine Learning Theory

• H Attias. Planning by probabilistic inference. Proceedings of the 9th International Conference on Artificial Intelligence and Statistics, 2003.
• H Attias. ICA, graphical models, and variational methods. In Independent Component Analysis: Principles and Practice (eds: S Roberts, R Everson), 95-112, 2001. Cambridge UP.
• H Attias. Learning in high dimensions: modular mixture models. Proceedings of the 8th International Conference on Artificial Intelligence and Statistics, 144-148, 2001.
• H Attias. A variational Bayesian framework for graphical models. Advances in Neural Information Processing Systems 12, 209-215, 2000.
• H Attias. Independent factor analysis with temporally structured factors. Advances in Neural Information Processing Systems 12, 386-392, 2000.
• H Attias. Inferring parameters and structure of latent variable models by variational Bayes. Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, 21-30, 1999.
• H Attias. Hierarchical IFA belief networks. Proceedings of the 7th International Workshop on Artificial Intelligence andStatistics, 3-11, 1999.
• H Attias. Learning a hierarchical belief network of independent factor analyzers. Advances in Neural Information Processing Systems 11, 361-367, 1999.
• H Attias. Independent factor analysis. Neural Computation (Article) 11, 803-851, 1999.
• H Attias, CE Schreiner. Blind source separation and deconvolution: the dynamic component analysis algorithm. Neural Computation (Article) 10, 1373-1424, 1998.

Physics

• H Attias, Y Alhassid. The perturbed static-path approximation at finite temperature: observables and strength functions. Nuclear Physics A 625, 565-597, 1997.
• Y Alhassid, H Attias. Universal parametric correlations of conductance peaks in quantum dots. Physical Review Letters 76, 1711-1714, 1996.
• Y Alhassid, H Attias. Universal correlations of Coulomb-blockade conductance peaks and the rotation scaling in quantum dots. Physical Review B 54, 2696-2714, 1996.
• H Attias, Y Alhassid. Universal parametric correlations of eigenfunctions in chaotic and disordered systems. Physical Review Letters 74, 4635-4638, 1995.
• H Attias, Y Alhassid. The Gaussian random-matrix process and universal parametric correlations in complex systems. Physical Review E 52, 4776-4792, 1995.
• Y Alhassid, H Attias. Algebraic rotating-frame approach to nuclear reactions. Nuclear Physics A 577, 709-726, 1994.
• D Kusnezov, H Attias, D Mitchell. Collective motion in complex systems: chaos, disorder and random matrices. Proceedings of the 8th International Symposium on Capture Gamma-Ray Spectroscopy, 505-516, 1994.
• M Lambrecht, H Attias, K Barger, G Kalbfleisch, D Kaplan, P Karchin, J Kuehler, E McCliment, W Ross, J Sinnott, P Skubic, S Utku. Evaluation of AC-coupled silicon microstrip detectors and Berkeley SVXD readout with 227 GeV/c Pions. IEEE Transactions on Nuclear Science 38, 446-453, 1991.
• W Ross, H Attias, K Barger, G Kalbfleisch, D Kaplan, P Karchin, J Kuehler, M Lambrecht, E McCliment, J Sinnott, P Skubic, S Utku. Beam tests of silicon microstrip detectors with VLSI readout. Nuclear Instruments and Methods A 310, 493-496, 1991.