Samy Bengio

Google Research

Other Google Resources

Samy Bengio (PhD in computer science, University of Montreal, 1993) is a research scientist at Google since 2007. Before that, he was senior researcher in statistical machine learning at IDIAP Research Institute since 1999, where he supervised PhD students and postdoctoral fellows. His research interests span many areas of machine learning such as support vector machines, time series prediction, mixture models, large-scale problems, speech recognition, multi channel and asynchronous sequence processing, multi-modal (face and voice) person authentication, brain computer interfaces, and document retrieval. He is Associate Editor of the Journal of Computational Statistics, has been general chair of the Workshops on Machine Learning for Multimodal Interactions (MLMI'2004, 2005 and 2006), programme chair of the IEEE Workshop on Neural Networks for Signal Processing (NNSP'2002), and on the programme committee of several international conferences such as NIPS and ICML. More information can be found on his website.

Publications

A Discriminative Kernel-based Approach to Retrieval Images from Text Queries, David Grangier, Samy Bengio, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30 (2008), pp. 1371-1384.
A Distance Model for Rhythms, Jean-Francois Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck, International Conference on Machine Learning (ICML), 2008.
A Generative Model for Rhythms, Jean-Francois Paiement, Samy Bengio, Yves Grandvalet, Doug Eck, Neural Information Processing Systems, Workshop on Brain, Music and Cognition, 2008.
Delay Learning and Polychronization for Reservoir Computing, Hélène Paugam-Moisy, Régis Martinez, Samy Bengio, Neurocomputing, vol. 71 (2008), pp. 1143-1158.
Large Scale Content-Based Audio Retrieval from Text Queries, Gal Chechik, Eugene Ie, Martin Rehn, Samy Bengio, Richard F. Lyon, ACM International Conference on Multimedia Information Retrieval (MIR), 2008.
A Generative Model for Distance Patterns in Music, Jean-Francois Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck, NIPS Workshop on Music, Brain and Cognition, 2007.
Biometric Person Authentication IS A Multiple Classifier Problem, Samy Bengio, Johnny Mariéthoz, 7th International Workshop on Multiple Classifier Systems, 2007.
Learning the Inter-frame Distance for Discriminative Template-based Keyword Detection, David Grangier, Samy Bengio, Proceedings of the International Conference Interspeech-Eurospeech, 2007.
The Need for Open Source Software in Machine Learning, Soren Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoff Holmes, Yann LeCun, Klaus-Robert Mueller, Fernando Pereira, Carl-Edward Rasmussen, Gunnar Raetsch, Bernhard Schoelkopf, Alexander Smola, Pascal Vincent, Jason Weston, Robert C. Williamson, Journal of Machine Learning Research, vol. 8 (2007), pp. 2443-2466.

Prior Publications

A Kernel Trick For Sequences Applied to Text-Independent Speaker Verification Systems, J. Mariéthoz, S. Bengio, Pattern Recognition, vol. 40 (2007).
A supervised learning approach based on STDP and polychronization in spiking neuron networks, H. Paugam-Moisy, R. Martinez, S. Bengio, European Symposium on Artificial Neural Networks, ESANN, 2007.
Discriminative Keyword Spotting, J. Keshet, D. Grangier, S. Bengio, ISCA Research Workshop on Non Linear Speech Processing, NOLISP, 2007.
Estimating the Confidence Interval of Expected Performance Curve in Biometric Authentication Using Joint Bootstrap, N. Poh, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2007.
Machine Learning for Multimodal Interaction: Third International Workshop, MLMI'2006, S. Renals, S. Bengio, J. G. Fiscus, 2007.
Performance Generalization in Biometric Authentication Using Joint User-Specific and Sample Bootstraps, N. Poh, A. Martin, S. Bengio, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 29 (2007).
A Discriminative Approach for the Retrieval of Images from Text Queries, D. Grangier, F. Monay, S. Bengio, European Conference on Machine Learning, ECML, Lecture Notes in Computer Science, 2006.
A Max Kernel For Text-Independent Speaker Verification Systems, J. Mariéthoz, S. Bengio, Second Workshop on Multimodal User Authentication, MMUA, 2006.
A Multitask Learning Approach to Document Representation using Unlabeled Data, M. Keller, S. Bengio, 2006.
A Neural Network to Retrieve Images from Text Queries, D. Grangier, S. Bengio, Proceedings of the 16th International Conference on Artificial Neural Networks: Biological Inspirations, ICANN, Lecture Notes in Computer Science, 2006.
Chimeric Users to Construct Fusion Classifiers in Biometric Authentication Tasks: An Investigation, N. Poh, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2006.
Database, Protocol and Tools for Evaluating Score-Level Fusion Algorithms in Biometric Authentication, N. Poh, S. Bengio, Pattern Recognition, vol. 39 (2006), pp. 223-233.
Discriminative Kernel-Based Phoneme Sequence Recognition, J. Keshet, S. Shalev-Shwartz, S. Bengio, Y. Singer, D. Chazan, Proceedings of the International Conference on Spoken Language Processing, Interspeech-ICSLP, 2006.
Graph-Based Invariant Manifolds for Invariant Pattern Recognition with Kernel Methods, A. Pozdnoukhov, S. Bengio, International Conference on Pattern Recognition, ICPR, 2006.
Invariances in Kernel Methods: From Samples to Objects, A. Pozdnoukhov, S. Bengio, Pattern Recognition Letters, vol. 27 (2006), pp. 1087-1097.
Investigating Lexical Substitution Scoring for Subtitle Generation, O. Glickman, I. Dagan, M. Keller, S. Bengio, W. Daelemans, Tenth Conference on Computational Natural Language Learning, CONLL, 2006.
Learning to Retrieve Images from Text Queries with a Discriminative Model, D. Grangier, F. Monay, S. Bengio, International Workshop on Adaptive Multimedia Retrieval, AMR, 2006.
Machine Learning for Multimodal Interaction: Second International Workshop, MLMI'2005, S. Renals, S. Bengio, 2006.
Measuring the Performance of Face Localization Systems, Y. Rodriguez, F. Cardinaux, S. Bengio, J. Mariéthoz, Image and Vision Computing, vol. 24 (2006), pp. 882-893.
Modeling Individual and Group Actions in Meetings With Layered HMMs, D. Zhang, D. Gatica-Perez, S. Bengio, I. McCowan, IEEE Transactions on Multimedia, vol. 8 (2006), pp. 509-520.
Modeling Interactions from Email Communication, D. Zhang, D. Gatica-Perez, D. Roy, S. Bengio, IEEE International Conference on Multimedia & Expo, ICME, 2006.
On Transforming Statistical Models for Non-Frontal Face Verification, C. Sanderson, S. Bengio, Y. Gao, Pattern Recognition, vol. 39 (2006), pp. 288-302.
Posterior Based Keyword Spotting with A Priori Thresholds, H. Ketabdar, J. Vepa, S. Bengio, H. Bourlard, Proceedings of the International Conference on Spoken Language Processing, Interspeech-ICSLP, 2006.
Probabilistic Melodic Harmonization, J.-F. Paiement, D. Eck, S. Bengio, Advances in Artificial Intelligence: 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI, Lecture Notes in Computer Science, 2006, pp. 218-229.
Revisiting Doddington's Zoo: A Systematic Method to Assess User-dependent Variabilities, N. Poh, S. Bengio, A. Ross, Second Workshop on Multimodal User Authentication, MMUA, 2006.
Semi-Supervised Kernel Methods for Regression Estimation, A. Pozdnoukhov, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2006.
User Authentication via Adapted Statistical Models of Face Images, F. Cardinaux, C. Sanderson, S. Bengio, IEEE Transactions on Signal Processing, vol. 54 (2006), pp. 361-373.
Using More Informative Posterior Probabilities for Speech Recognition, H. Ketabdar, J. Vepa, S. Bengio, H. Bourlard, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2006.
Writer Identification for Smart Meeting Room Systems, M. Liwicki, A. Schlapbach, H. Bunke, S. Bengio, J. Mariéthoz, J. Richiardi, Document Analysis Systems VII: 7th International Workshop, DAS, Lecture Notes in Computer Science, 2006, pp. 186-195.
A Discriminative Decoder for the Recognition of Phoneme Sequences, D. Grangier, S. Bengio, 2005.
A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space, J.-F. Paiement, D. Eck, S. Bengio, D. Barber, International Conference on Machine Learning, ICML, 2005.
A Kernel Classifier for Distributions, A. Pozdnoukhov, S. Bengio, 2005.
A Neural Network for Text Representation, M. Keller, S. Bengio, Proceedings of the 15th International Conference on Artificial Neural Networks: Biological Inspirations, ICANN, Lecture Notes in Computer Science, 2005, pp. 667-672.
A Novel Approach to Combining Client-Dependent and Confidence Information in Multimodal Biometrics, N. Poh, S. Bengio, 5th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Lecture Notes in Computer Science, 2005, pp. 1120-1129.
A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification, Y. Grandvalet, J. Mariéthoz, S. Bengio, Advances in Neural Information Processing Systems, NIPS 18, 2005.
A Probabilistic Model for Chord Progressions, J.-F. Paiement, D. Eck, S. Bengio, International Conference on Music Information Retrieval, ISMIR, 2005.
A Score-Level Fusion Benchmark Database For Biometric Authentication, N. Poh, S. Bengio, 5th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Lecture Notes in Computer Science, 2005, pp. 474-483.
A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification, J. Mariéthoz, S. Bengio, IEEE Signal Processing Letters, vol. 12 (2005), pp. 532-535.
Automatic Analysis of Multimodal Group Actions in Meetings, I. McCowan, D. Gatica-Perez, S. Bengio, G. Lathoud, M. Barnard, D. Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 27 (2005), pp. 305-317.
Benchmarking Non-Parametric Statistical Tests, M. Keller, S. Bengio, S. Y. Wong, Advances in Neural Information Processing Systems, NIPS 18, 2005.
Boosting Word Error Rates, C. Dimitrakakis, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2005, pp. 501-504.
Can Chimeric Persons Be Used in Multimodal Biometric Authentication Experiments?, N. Poh, S. Bengio, Machine Learning for Multimodal Interactions: Second International Workshop, MLMI, 2005.
Can a Professional Imitator Fool a GMM-Based Speaker Verification System?, J. Mariéthoz, S. Bengio, 2005.
Detecting Group Interest-level in Meetings, D. Gatica-Perez, I. McCowan, D. Zhang, Samy Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2005, pp. 489-492.
Developing and Enhancing Posterior Based Speech Recognition Systems, H. Ketabdar, J. Vepa, S. Bengio, H. Bourlard, Proceedings of the 9th European Conference on Speech Communication and Technology, Eurospeech-Interspeech, 2005.
Exploiting Hyperlinks to Learn a Retrieval Model, D. Grangier, S. Bengio, Proceedings of the NIPS 2005 Workshop on Learning to Rank.
Extracting Information from Multimedia Meeting Collections, D. Gatica-Perez, D. Zhang, S. Bengio, 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR, 2005.
F-ratio Client-Dependent Normalisation for Biometric Authentication Tasks, N. Poh, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2005, pp. 721-724.
Gradient-Based Estimates of Return Distributions, C. Dimitrakakis, S. Bengio, PASCAL Workshop on Principled Methods of Trading Exploration and Exploitation, 2005.
Hierarchical Multi-Stream Posterior Based Speech Recognition System, H. Ketabdar, H. Bourlard, S. Bengio, Machine Learning for Multimodal Interactions: Second International Workshop, MLMI, Lecture Notes in Computer Science, 2005.
How Do Correlation and Variance of Base Classifiers Affect Fusion in Biometric Authentication Tasks?, N. Poh, S. Bengio, IEEE Transactions on Signal Processing, vol. 53 (2005), pp. 4384-4396.
Improving Fusion with Margin-Derived Confidence In Biometric Authentication Tasks, N. Poh, S. Bengio, 5th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Lecture Notes in Computer Science, 2005, pp. 1059-1068.
Improving Kernel Classifiers for Object Categorization Problems, A. Pozdnoukhov, S. Bengio, International Conference on Machine Learning, ICML, Workshop on Learning with Partially Classified Training Data, 2005.
Inferring Document Similarity from Hyperlinks, D. Grangier, S. Bengio, Proceedings of the Conference on Information and Knowledge Management, CIKM, 2005.
Joint Training of Multi-Stream HMMs, S. Bengio, 2005.
Kernel Matching Pursuit for Large Datasets, V. Popovici, S. Bengio, J.-P. Thiran, Pattern Recognition, vol. 38 (2005), pp. 2385-2390.
Learning Influence Among Interacting Markov Chains, D. Zhang, D. Gatica-Perez, S. Bengio, D. Roy, Advances in Neural Information Processing Systems, NIPS 18, 2005.
Machine Learning for Multimodal Interaction: First International Workshop, MLMI'2004, S. Bengio, H. Bourlard, 2005.
Machine Learning for automatic environmental mapping: when and how?, N. Gilardi, S. Bengio, Automatic mapping algorithms for routine and emergency monitoring data. Report on the Spatial Interpolation Comparison (SIC2004) exercise, 2005, pp. 123-138.
Modeling Interactions from Email Communication, D. Zhang, D. Gatica-Perez, D. Roy, S. Bengio, 2005.
Multi Channel Sequence Processing, S. Bengio, H. Bourlard, Deterministic and Statistical Methods in Machine Learning: First International Workshop, Lecture Notes in Artificial Intelligence, 2005, pp. 22-36.
On Accuracy/Robustness/Complexity Trade-Offs in Face Verification, C. Sanderson, F. Cardinaux, S. Bengio, IEEE International Conference on Information Technology and Applications, ICITA, 2005, pp. 638-643.
Online Adaptive Policies for Ensemble Classifiers, C. Dimitrakakis, S. Bengio, Neurocomputing, vol. 64 (2005), pp. 211-221.
Semi-supervised Adapted HMMs for Unusual Event Detection, D. Zhang, D. Gatica-Perez, S. Bengio, I. McCowan, IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2005.
Semi-supervised Meeting Event Recognition with Adapted HMMs, D. Zhang, D. Gatica-Perez, S. Bengio, I. McCowan, IEEE International Conference on Multimedia Expo, ICME, 2005, pp. 611-618.
The Expected Performance Curve, S. Bengio, J. Mariéthoz, M. Keller, International Conference on Machine Learning, ICML, Workshop on ROC Analysis in Machine Learning, 2005.
EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks, N. Poh, S. Bengio, 6th International Workshop on Multiple Classifier Systems, MCS, Lecture Notes in Computer Science, 2005, pp. 74-85.
A Gentle Hessian for Efficient Gradient Descent, R. Collobert, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004, pp. 517-520.
A Statistical Significance Test for Person Authentication, S. Bengio, J. Mariéthoz, Proceedings of Odyssey 2004: The Speaker and Language Recognition Workshop.
Boosting HMMs with an application to speech recognition, C. Dimitrakakis, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004, pp. 621-624.
Estimates of Parameter Distributions for Optimal Action Selection, C. Dimitrakakis, S. Bengio, 2004.
Estimating the Quality of Face Localization for Face Verification, Y. Rodriguez, F. Cardinaux, S. Bengio, J. Mariéthoz, IEEE International Conference on Image Processing, ICIP, 2004, pp. 581-584.
Evaluation of Formant-Like Features for Automatic Speech Recognition, F. de Wet, K. Weber, L. Boves, B. Cranen, S. Bengio, H. Bourlard, Journal of the Acoustical Society of America (JASA), vol. 116 (2004), pp. 1781-1792.
Extrapolating Single View Face Models for Multi-View Recognition, C. Sanderson, S. Bengio, International Conference on Intelligente Sensors, Sensor Networks and Information Processings, ISSNIP, 2004, pp. 581-586.
Face Authentication Competition on the BANCA Database, K. Messer, J. Kittler, M. Sadeghi, M. Hamouz, A. Kostin, S. Marcel, S. Bengio, F. Cardinaux, C. Sanderson, N. Poh, Y. Rodriguez, K. Kryszczuk, J. Czyz, L. Vandendorpe, J. Ng, H. Cheung, B. Tang, International Conference on Biometric Authentication, ICBA, Lecture Notes in Computer Science, 2004, pp. 8-15.
Face Authentication Test on the BANCA Database, K. Messer, J. Kittler, M. Sadeghi, M. Hamouz, A. Kostin, F. Cardinaux, S. Marcel, S. Bengio, C. Sanderson, N. Poh, Y. Rodriguez, J. Czyz, L. Vandendorpe, C. McCool, S. Lowther, S. Sridharan, V. Chandran, R. P. Palacios, E. Vidal, L. Bai, L. Shen, Y. Wang, C. Yueh-Hsuan, L. Hsien-Chang, H. Yi-Ping, A. Heinrichs, M. Muller, A. Tewes, C. von der Malsburg, R. Wurtz, Z. Wang, F. Xue, Y. Ma, Q. Yang, C. Fang, X. Ding, S. Lucey, R. Goss, H. Schneiderman, International Conference on Pattern Recognition, ICPR, 2004, pp. 523-532.
Face Verification Using Adapted Generative Models, F. Cardinaux, C. Sanderson, S. Bengio, International Conference on Automatic Face and Gesture Recognition, FG, 2004, pp. 825-830.
Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition, M. Magimai Doss, S. Bengio, H. Bourlard, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004, pp. 177-180.
Links Between Perceptrons, MLPs and SVMs, R. Collobert, S. Bengio, International Conference on Machine Learning, ICML, 2004.
Modeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework, D. Zhang, D. Gatica-Perez, S. Bengio, I. McCowan, G. Lathoud, IEEE Workshop on Event Mining at the Conference on Computer Vision and Pattern Recognition, CVPR, 2004.
Multimodal Group Action Clustering in Meetings, D. Zhang, D. Gatica-Perez, S. Bengio, I. McCowan, G. Lathoud, ACM Multimedia Workshop on Video Surveillance and Sensor Networks, 2004.
Multimodal Speech Processing Using Asynchronous Hidden Markov Models, S. Bengio, Information Fusion, vol. 5 (2004), pp. 81-89.
Noise-Robust Multi-Stream Fusion for Text-Independent Speaker Authentication, N. Poh, S. Bengio, Proceedings of Odyssey 2004: The Speaker and Language Recognition Workshop.
Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models, A. Vinciarelli, S. Bengio, H. Bunke, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 26 (2004), pp. 709-720.
Online Policy Adaptation for Ensemble Classifiers, C. Dimitrakakis, S. Bengio, European Symposium on Artificial Neural Networks, ESANN, 2004.
Sequence Classification with Input-Output Hidden Markov Models, S. Chiappa, S. Bengio, 2004.
Significance Tests for Bizarre Measures in 2-Class Classification Tasks, M. Keller, J. Mariéthoz, S. Bengio, 2004.
Spectral Subband Centroids as Complementary Features for Speaker Authentication, N. Poh, C. Sanderson, S. Bengio, International Conference on Biometric Authentication, ICBA, Lecture Notes in Computer Science, 2004, pp. 631-639.
Statistical Transformation Techniques for Face Verification using Faces Rotated in Depth, C. Sanderson, S. Bengio, 2004.
Statistical Transformations of Frontal Models for Non-Frontal Face Verification, C. Sanderson, S. Bengio, IEEE International Conference on Image Processing, ICIP, 2004, pp. 585-588.
Tangent Vector Kernels for Invariant Image Classification with SVMs, A. Pozdnoukhov, S. Bengio, International Conference on Pattern Recognition, ICPR, 2004, pp. 486-489.
The Expected Performance Curve: a New Assessment Measure for Person Authentication, S. Bengio, J. Mariéthoz, Proceedings of Odyssey 2004: The Speaker and Language Recognition Workshop.
Theme Topic Mixture Model: A Graphical Model for Document Representation, M. Keller, S. Bengio, PASCAL Workshop on Learning Methods for Text Understanding and Mining, 2004.
Towards Computer Understanding of Human Interactions, I. McCowan, D. Gatica-Perez, S. Bengio, D. Moore, H. Bourlard, Machine Learning for Multimodal Interaction: First International Workshop, MLMI, Lecture Notes in Computer Science, 2004, pp. 56-75.
Towards Predicting Optimal Subsets of Base Classifiers in Biometric Authentication Tasks, N. Poh, S. Bengio, Machine Learning for Multimodal Interactions: First International Workshop, MLMI, Lecture Notes in Computer Science, 2004, pp. 159-172.
Towards using hierarchical posteriors for flexible automatic speech recognition systems, H. Bourlard, S. Bengio, M. Magimai Doss, Q. Zhu, B. Mesot, N. Morgan, Proceedings of the DARPA EARS (Effective, Affordable, Reusable, Speech-to-text) Rich Transcription (RT'04) Workshop, 2004.
Why Do Multi-Stream, Multi-Band and Multi-Modal Approaches Work on Biometric User Authentication Tasks?, N. Poh, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004, pp. 893-896.
HMM and IOHMM Modeling of EEG Rhythms for Asynchronous BCI Systems, S. Chiappa, S. Bengio, European Symposium on Artificial Neural Networks, ESANN, 2004.
A New Margin-Based Criterion for Efficient Gradient Descent, R. Collobert, S. Bengio, 2003.
An Alternative To Silence Removal For Text-Independent Speaker Verification, J. Mariéthoz, S. Bengio, 2003.
An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition, S. Bengio, Advances in Neural Information Processing Systems, NIPS 15, 2003, pp. 1237-1244.
Augmenting Frontal Face Models for Non-Frontal Verification, C. Sanderson, S. Bengio, IEEE Multimodal User Authentication Workshop, 2003.
Client Dependent GMM-SVM Models for Speaker Verification, Q. Le, S. Bengio, International Conference on Artificial Neural Networks, ICANN/ICONIP, Lecture Notes in Computer Science, 2003, pp. 443-451.
Comparison of four machine learning algorithms for spatial data analysis, N. Gilardi, S. Bengio, Mapping radioactivity in the environment - Spatial Interpolation Comparison 97, 2003, pp. 222-237.
Face Verification Competition on the XM2VTS Database, K. Messer, J. Kittler, M. Sadeghi, S. Marcel, C. Marcel, S. Bengio, F. Cardinaux, C. Sanderson, J. Czyz, L. Vandendorpe, S. Srisuk, M. Petrou, W. Kurutach, A. Kadyrov, R. Paredes, B. Kepenekci, F. B. Tek, G. B. Akar, F. Deravi, N. Mavity, 4th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Lecture Notes in Computer Science, 2003, pp. 964-974.
From Samples to Objects in Kernel Methods, A. Pozdnoukhov, S. Bengio, 2003.
Improving Face Authentication Using Virtual Samples, N. Poh, S. Marcel, S. Bengio, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2003, pp. 233-236.
Meeting Data Collection Specifications, I. McCowan, D. Gatica-Perez, S. Bengio, 2003.
Modeling Human Interaction in Meetings, I. McCowan, S. Bengio, D. Gatica-Perez, G. Lathoud, F. Monay, D. Moore, P. Wellner, H. Bourlard, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2003, pp. 748-751.
Multi-Modal Audio-Visual Event Recognition for Football Analysis, M. Barnard, J.-M. Odobez, S. Bengio, IEEE Workshop on Neural Networks for Signal Processing, NNSP, 2003, pp. 469-478.
Multimodal Authentication using Asynchronous HMMs, S. Bengio, 4th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Lecture Notes in Computer Science, 2003, pp. 770-777.
Non-Linear Variance Reduction Techniques in Biometric Authentication, N. Poh, S. Bengio, IEEE Multimodal User Authentication Workshop, 2003.
Offline Recognition of Large Vocabulary Cursive Handwritten Text, A. Vinciarelli, S. Bengio, H. Bunke, International Conference on Document Analysis and Recognition, ICDAR, 2003, pp. 1101-1105.
On Automatic Annotation of Meeting Databases, D. Gatica-Perez, I. McCowan, M. Barnard, S. Bengio, H. Bourlard, IEEE International Conference on Image Processing, ICIP, 2003, pp. 629-632.
Phoneme-Grapheme Based Speech Recognition System, M. Magimai Doss, T. A. Stephenson, H. Bourlard, S. Bengio, IEEE Automatic Speech Recognition and Understanding Workshop, ASRU, 2003, pp. 94-98.
Robust Features for Frontal Authentication in Difficult Image Conditions, C. Sanderson, S. Bengio, 4th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Lecture Notes in Computer Science, 2003, pp. 495-504.
Robust Speech Recognition and Feature Extraction Using HMM2, K. Weber, S. Ikbal, S. Bengio, H. Bourlard, Computer, Speech and Language, vol. 17 (2003), pp. 195-211.
Scalability Analysis of Audio-Visual Person Identity Verification, J. Czyz, S. Bengio, C. Marcel, L. Vandendorpe, 4th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Lecture Notes in Computer Science, 2003, pp. 752-760.
Scaling Large Learning Problems with Hard Parallel Mixtures, R. Collobert, Y. Bengio, S. Bengio, International Journal on Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 17 (2003), pp. 349-365.
Speech & Face Based Biometric Authentication at IDIAP, C. Sanderson, S. Bengio, H. Bourlard, J. Mariéthoz, R. Collobert, M.F. BenZeghiba, F. Cardinaux, S. Marcel, International Conference on Multimedia and Expo, ICME, 2003, pp. 1-4.
Textual Data Representation, M. Keller, S. Bengio, 2003.
The BANCA Database and Evaluation Protocol, E. Bailly-Baillière, S. Bengio, F. Bimbot, M. Hamouz, J. Kittler, J. Mariéthoz, J. Matas, K. Messer, V. Popovici, F. Porée, B. Ruiz, J.-P. Thiran, 4th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA, Lecture Notes in Computer Science, 2003, pp. 625-638.
Towards Computer Understanding of Human Interactions, I. McCowan, D. Gatica-Perez, S. Bengio, D. Moore, H. Bourlard, Ambient Intelligence, Lecture Notes in Computer Science, 2003, pp. 235-251.
Towards Robust and Adaptive Speech Recognition Models, H. Bourlard, S. Bengio, K. Weber, Mathematical Foundations of Speech and Language Processing, 2003, pp. 169-189.
Variance Reduction Techniques in Biometric Authentication, N. Poh, S. Bengio, 2003.
A Comparative Study of Adaptation Methods for Speaker Verification, J. Mariéthoz, S. Bengio, Proceedings of the International Conference on Spoken Language Processing, ICSLP, 2002.
A Multi-sample Multi-source Model for Biometric Authentication, N. Poh, S. Bengio, J. Korczak, IEEE Workshop on Neural Networks for Signal Processing, NNSP, 2002, pp. 375-384.
A Parallel Mixture of SVMs for Very Large Scale Problems, R. Collobert, S. Bengio, Y. Bengio, Neural Computation, vol. 14 (2002), pp. 1105-1114.
A State-of-the-art Neural Network for Robust Face Verification, S. Marcel, C. Marcel, S. Bengio, COST275 Workshop on the advent of Biometrics on the Internet, 2002.
Conditional Gaussian Mixture Models for Environmental Risk Mapping, N. Gilardi, S. Bengio, M. Kanevski, IEEE Workshop on Neural Networks for Signal Processing, NNSP, 2002, pp. 777-786.
Confidence Measures for Multimodal Identity Verification, S. Bengio, C. Marcel, S. Marcel, J. Mariéthoz, Information Fusion, vol. 3 (2002), pp. 267-276.
Evaluation of Formant-Like Features for ASR, K. Weber, F. de Wet, B. Cranen, L. Boves, S. Bengio, H. Bourlard, Proceedings of the International Conference on Spoken Language Processing, ICSLP, 2002.
Hidden Markov Models and other Finite State Automata for Sequence Processing, H. Bourlard, S. Bengio, The Handbook of Brain Theory and Neural Networks, Second Edition, 2002.
Hybrid generative-discriminative models for speech and speaker recognition, Q. Le, S. Bengio, 2002.
Improving Face Verification using Skin Color Information, S. Marcel, S. Bengio, Proceedings of the 16th International Conference on Pattern Recognition, ICPR, 2002, pp. 11-15.
Increasing Speech Recognition Noise Robustness with HMM2, K. Weber, S. Bengio, H. Bourlard, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2002, pp. 929-932.
Offline Cursive Word Recognition using Continuous Density Hidden Markov Models trained with PCA or ICA Features, A. Vinciarelli, S. Bengio, Proceedings of the 16th International Conference on Pattern Recognition, ICPR, 2002, pp. 81-84.
Proceedings of the Twelfth IEEE Workshop on Neural Networks for Signal Processing (NNSP), H. Bourlard, T. Adali, S. Bengio, J. Larsen, S. Douglas, 2002.
Scaling Large Learning Problems with Hard Parallel Mixtures, R. Collobert, Y. Bengio, S. Bengio, International Workshop on Pattern Recognition with Support Vector Machines, SVM, Lecture Notes in Computer Science, 2002, pp. 8-23.
The BANCA Database and Experimental Protocol for Speaker Verification, F. Porée, J. Mariéthoz, S. Bengio, F. Bimbot, 2002.
Torch: a modular machine learning software library, R. Collobert, S. Bengio, J. Mariéthoz, 2002.
Transforming the Feature Vectors to Improve HMM Based Cursive Word Recognition Systems, A. Vinciarelli, S. Bengio, 2002.
Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition, A. Vinciarelli, S. Bengio, Pattern Recognition Letters, vol. 23 (2002), pp. 905-916.
A Pragmatic View of the Application of HMM2 for ASR, K. Weber, S. Bengio, H. Bourlard, 2001.
Comparison of Client Model Adaptation Schemes, S. Bengio, J. Mariéthoz, 2001.
Evaluation of Biometric Technology on XM2VTS, S. Bengio, J. Mariéthoz, S. Marcel, 2001.
Learning the Decision Function for Speaker Verification, S. Bengio, J. Mariéthoz, IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2001, pp. 425-428.
New Approaches Towards Robust and Adaptive Speech Recognition, H. Bourlard, S. Bengio, K. Weber, Advances in Neural Information Processing Systems, NIPS 13, 2001, pp. 751-757.
Speech Recognition Using Advanced HMM2 Features, K. Weber, S. Bengio, H. Bourlard, Proceedings of the Automatic Speech Recognition and Understanding Workshop, ASRU, 2001, pp. 65-68.
The use of predictive models of breeding bird assemblages for assessing and monitoring forest bird diversity, J.-L. DesGranges, P. Agin, S. Bengio, Criteria and Indicators for Sustainable Forest Management at the Forest Management Unit Level, 2001, pp. 181-200.
HMM2- Extraction of Formant Features and their Use for Robust ASR, K. Weber, S. Bengio, H. Bourlard, Proceedings of the European Conference on Speech Communication and Technology, EUROSPEECH, 2001.
SVMTorch: Support Vector Machines for Large-Scale Regression Problems, R. Collobert, S. Bengio, Journal of Machine Learning Research, vol. 1 (2001), pp. 143-160.
An EM Algorithm for HMMs with Emission Distributions Represented by HMMs, S. Bengio, H. Bourlard, K. Weber, 2000.
Automatic Speech Recognition using Dynamic Bayesian Networks with both Acoustic and Articulatory Variables, T. A. Stephenson, H. Bourlard, S. Bengio, A. C. Morris, Proceedings of the International Conference on Speech and Language Processing, ICSLP, 2000.
Local Machine Learning Models for Spatial Data Analysis, N. Gilardi, S. Bengio, Journal of Geographic Information and Decision Analysis, vol. 4 (2000), pp. 11-28.
Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks, Y. Bengio, S. Bengio, Advances in Neural Information Processing Systems, NIPS 12, 2000, pp. 400-406.
On the Convergence of SVMTorch, an Algorithm for Large-Scale Regression Problems, R. Collobert, S. Bengio, 2000.
Support Vector Machines for Large-Scale Regression Problems, R. Collobert, S. Bengio, 2000.
Taking on the Curse of Dimensionality in Joint Distributions Using Neural Networks, S. Bengio, Y. Bengio, IEEE Transaction on Neural Networks, special issue on data mining and knowledge discovery, vol. 11 (2000), pp. 550-557.
HMM2- A novel approach to HMM emission probability estimation, K. Weber, S. Bengio, H. Bourlard, Proceedings of the International Conference on Speech and Language Processing, ICSLP, 2000.
Stochastic Learning of Strategic Equilibria for Auctions, S. Bengio, Y. Bengio, J. Robert, G. Bélanger, Neural Computation, vol. 11 (1999), pp. 1199-1209.
Dynamical resource reservation schemes in an ATM network using neural network-based traffic prediction, S. Bengio, F. Clerot, A. Gravey, D. Collobert, Proceedings of the IFIP Fifth International Workshop on Performance Modelling and Evaluation of ATM Networks, 1997.
On the Optimization of a Synaptic Learning Rule, S. Bengio, Y. Bengio, J. Cloutier, J. Gecsei, Optimality in Biological and Artificial Networks?, 1997, pp. 265-287.
Shared Context Probabilistic Transducers, Yoshua Bengio, Samy Bengio, Jean-Francois Isabelle, Yoram Singer, Advances in Neural Information Processing Systems, NIPS 10, 1997.
An EM Algorithm for Asynchronous Input/Output Hidden Markov Models, S. Bengio, Y. Bengio, Proceedings of the International Conference on Neural Information Processing, ICONIP, 1996.
On the Prediction of Solar Activity Using Different Neural Network Models, F. Fessant, S. Bengio, D. Collobert, Annales Geophysicae, vol. 14 (1996), pp. 20-26.
The Vehicle Routing Problem with Time Windows - Part II: Genetic Search, J.-Y. Potvin, S. Bengio, INFORMS Journal on Computing, vol. 8 (1996), pp. 165-172.
Training Asynchronous Input/Output Hidden Markov Models, Y. Bengio, S. Bengio, AAAI Spring Symposium on Computational Issues in Learning Models of Dynamical Systems, 1996.
Use of Modular Architectures for Time Series Prediction, S. Bengio, F. Fessant, D. Collobert, Neural Processing Letters, vol. 3 (1996), pp. 101-106.
Utilisation de techniques de prédiction neuromimétiques pour la négotiation dynamique des paramètres de contrat de trafic dans un réseau ATM, A. Gravey, S. Bengio, D. Collobert, F. Clerot, 1996.
A Connectionist System for Medium-Term Horizon Time Series Prediction, S. Bengio, F. Fessant, D. Collobert, International Workshop on Applications of Neural Networks to Telecommunications, IWANNT, 1995.
On the Search for New Learning Rules for ANNs, S. Bengio, Y. Bengio, J. Cloutier, Neural Processing Letters, vol. 2 (1995), pp. 26-30.
A Genetic based Heuristic for the Vehicle Routing Problem with Time Windows, J.-Y. Potvin, S. Bengio, 1994.
Use of Genetic Programming for the Search of a New Learning Rule for Neural Networks, S. Bengio, Y. Bengio, J. Cloutier, Proceedings of the First Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, 1994, pp. 324-327.
Generalization of a Parametric Learning Rule, S. Bengio, Y. Bengio, J. Cloutier, J. Gecsei, Proceedings of the International Conference on Artificial Neural Networks, ICANN'93, 1993, pp. 502-502.
Optimisation d'une règle d'apprentissage pour réseaux de neurones artificiels, S. Bengio, 1993.
Aspects théoriques de l'optimisation d'une règle d'apprentissage, S. Bengio, Y. Bengio, J. Cloutier, J. Gecsei, Actes de la conférence Neuro-Nîmes 1992.
On the Optimization of a Synaptic Learning rule, S. Bengio, Y. Bengio, J. Cloutier, J. Gecsei, Conference on Optimality in Biological and Artificial Networks, 1992.
Learning a Synaptic Learning Rule, Y. Bengio, S. Bengio, J. Cloutier, Proceedings of the International Joint Conference on Neural Networks, IJCNN, 1991, pp. 969-974.
Secure Implementation of Identification Systems, S. Bengio, G. Brassard, Y. Desmedt, C. Goutier, J.-J. Quisquater, Journal of Cryptology, vol. 4 (1991), pp. 175-183.
A Neural Network to Detect Homologies in Proteins, Y. Bengio, S. Bengio, Y. Pouliot, P. Agin, Advances in Neural Information Processing Systems, NIPS 2, 1990.
Learning a Synaptic Learning Rule, Y. Bengio, S. Bengio, 1990.
Integrating Traditional and Intelligent Computerized Tutoring, S. Bengio, C. Frasson, J. Gecsei, Fourth International Symposium on Computer and Information Sciences, 1989.
Utilisation de systèmes d'EAO dans des systèmes d'EIAO, S. Bengio, C. Frasson, J. Gecsei, Sixième Symposium Canadien sur la Technologie Pédagogique, 1989.
Special Uses and Abuses of the Fiat-Shamir Passport Protocol, Y. Desmedt, C. Goutier, S. Bengio, Advances in Cryptology, Crypto, Lecture Notes in Computer Science, 1988, pp. 21-39.
Utilisation d'EAO dans des systèmes d'EIAO, S. Bengio, C. Frasson, 1988.
Aspects and Importance of Secure Implementations of Identification Systems, S. Bengio, G. Brassard, Y. Desmedt, C. Goutier, J.-J. Quisquater, 1987.