People : publications

Books

Léon Bottou and Olivier Chapelle and Dennis DeCoste and Jason Weston (editors): Large Scale Kernel Machines. MIT Press (2007) (link)

Ingemar J. Cox and Matt L. Miller and Jeffrey Bloom and Jessica Fridrich and Ton Kalker: Digital watermarking and steganography (second edition). Morgan Kaufmann (2007)

Vapnik, Vladimir: Estimation of Dependences Based on Empirical Data. Springer Verlag (2006)

Lawrence Saul and Yair Weiss and Léon Bottou (editors): Advances in Neural Information Processing Systems 17. MIT Press (2005) (link)

Ingemar J. Cox and Matt L. Miller and Jeffrey Bloom: Digital watermarking. Morgan Kaufmann (2002)

Vapnik, Vladimir: Statistical Learning Theory. John Wiley & Sons (1998)

Vapnik, Vladimir: The Nature of Statistical Learning Theory. Springer Verlag (1995)

Articles and Conference Papers

Y. Qi and O.Tastan and J. Carbonell and J. Klein-Seetharaman and J. Weston: Semi-Supervised Multi-Task Learning for Predicting Interactions between HIV-1 and Human Proteins. European Conference on Computational Biology (ECCB) (2010)

P. Kuksa and Y. Qi and B. Bai and R. Collobert and J.Weston and V. Pavlovic and X. Ning: Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction. ECML PKDD 2010 ( European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ) (2010)

P. Kuksa and Y. Qi: Semi-Supervised Bio-Named Entity Recognition with Word-Codebook Learning. SIAM International Conference on Data Mining (SDM) (2010)

Bing Bai and Jason Weston and David Grangier and Ronan Collobert and Corinna Cortes and Mehryar Mohri: Half Transductive Ranking. AISTATS (2010) (link)

Bing Bai and Jason Weston and David Grangier and Ronan Collobert and Kunihiko Sadamasa and Yanjun Qi and Olivier Chappel and Kilian Weinberger: Supervised Semantic Indexing. Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM09) (2009) (link)

Y. Qi and R. Collobert and P. Kuksa and K. Kavukcuoglu and J.Weston: Combining Labeled and Unlabeled Data for Word-Class Distribution Learning. The 18th ACM Conference on Information and Knowledge Management (CIKM) (2009)

Marina Spivak and Jason Weston and Leon Bottou, L. Kall, W. Stafford Noble: Improvements to the Percolator algorithm for peptide identification from shotgun proteomics data sets. Journal of Proteome Research (2009) (link)

O. Tastan and Y. Qi and J.G. Carbonell and J. Klein-Seetharaman: Prediction of Interactions between HIV-1 and Human Proteins by Information Integration. Pacific Symposium on Biocomputing (PSB) 14 (2009)

Bing Bai and Jason Weston and David Grangier and Ronan Collobert and Kunihiko Sadamasa and Yanjun Qi and Olivier Chappel and Kilian Weinberger: Learning to Rank with (a lot of) Word Features. Information Retrieval Special Issue: Learning to Rank for IR (2009) (link)

Y. Bengio, J. Louradour and Ronan Collobert and Jason Weston: Curriculum Learning. Proceedings of the Twenty-sixth International Conference on Machine Learning (ICML 2009) (2009) (link)

Sankaradass, Murugan and Jakkula, Venkata and Cadambi, Srihari and Durdanovic, Igor and Cosatto, Eric and Chakradhar, Srimat and Graf, Hans Peter: A Massively Parallel Coprocessor for Convolutional Neural Networks. Proc. Application-specific Systems, Architectures and Processors, ASAP 2009 (2009)

Bing Bai and Jason Weston and Ronan Collobert and David Grangier: Supervised Semantic Indexing. Proceedings of the 31st European Conference on Information Retrieval (ECIR09) (2009) (link)

Cadambi, Srihari and Durdanovic, Igor and Jakkula, Venkata and Sankaradass, Murugan and Cosatto, Eric and Chakradhar, Srimat and Graf, Hans Peter: A Massively Parallel FPGA Based Co-Processor for Support Vector Machines. Proc. Field Programmable Custom Computing Machines, FCCM (2009)

Bing Bai and Jason Weston and David Grangier and Ronan Collobert and Kunihiko Sadamasa and Yanjun Qi and Olivier Chappel and Kilian Weinberger: Learning to Rank with Low Rank. SIGIR Workshop: Learning to Rank for IR (2009)

Meyer, John and Cosatto, Eric and Graf, Hans Peter: Mitotic Index of Breast Carcinoma: Understanding and Remedying Irreproducibility. US and Canadian Academy of Pathology, 2009 Annual Meeting (2009)

Meyer, John and Cosatto, Eric and Graf, Hans Peter: Mitotic Index of Invasive Breast Carcinoma. Archives of Pathology and Laboratory Medicine (11) (2009)

Hossein Mobahi and Ronan Collobert and Jason Weston: Deep Learning from Temporal Coherence in Video. Proceedings of the Twenty-sixth International Conference on Machine Learning (ICML 2009) (2009) (link)

Y. Qi and HK. Dhiman and et al and Z. Bar-Joseph and J. Klein-Seetharaman: Systematic prediction of human membrane receptor interactions. PROTEOMICS (2009)

Bing Bai and Jason Weston and David Grangier and Ronan Collobert and Corinna Cortes and Mehryar Mohri: Ranking with Half Transductive Models. NIPS Workshop on Advances in Ranking (2009)

Bing Bai and Jason Weston and David Grangier and Ronan Collobert and Kunihiko Sadamasa and Yanjun Qi and Corinna Cortes and Mehryar Mohri: Polynomial Semantic Indexing. Advances in Neural Information Processing Systems 22 (2009) (link)

Y. Qi and P. Kuksa and R. Collobert and K. Sadamasa and K. Kavukcuoglu and J.Weston: Semi-Supervised Sequence Labeling with Self-Learned Feature. IEEE International Conference on Data Mining (ICDM) (2009)

Vladimir Vapnik and Akshay Vashist and Natalya Pavlovic: Learning Using Hidden Information: Master Class Learning. Proc of NATO workshop on Mining Massive Data Sets for Security (2008)

D. Grangier, J. Keshet and S. Bengio: Discriminative Keyword Spotting. Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods (2008)

Graf, Hans Peter and Cadambi, Srihari and Durdanovic, Igor and Jakkula, Venkata and Sankardadass, Murugan and Cosatto, Eric and Chakradhar, Srimat: A Massively Parallel Digital Learning Processor. Advances in Neural Information Processing Systems (2008)

Léon Bottou and Olivier Bousquet: The Tradeoffs of Large Scale Learning. Advances in Neural Information Processing Systems (2008) (link)

R. El-Yaniv and D. Pechyony and E. Yom-Tov: Better Multi-Class Classification Through a Margin-Optimized Single Binary Problem. Pattern Recognition Letters (14) (2008)

Antoine Bordes and Nicolas Usunier and Léon Bottou: Sequence Labelling SVMs Trained in One Pass. Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008 (2008) (link)

J. Novatnak and N. Cornea and A. Shokoufandeh and S. Dickinson and D. Silver and P. Kantor and B. Bai: A Generalized Family of Fixed-Radius Distribution-Based Distance Measures for Comparing fMRI. Pattern Recognition Letters (12) (2008)

H. Nozawa and Y. Qi and J. Klein-Seetharaman and S.M. Thomas: Combined inhibition of PLC-gamma-1 and c-Src abrogates Epidermal Growth Factor Receptor-mediated head and neck squamous cell carcinoma invasion. Clinical Cancer Research (2008)

Cosatto, Eric and Miller, Matt and Graf, Hans Peter and Meyer, John: Grading Nuclear Pleomorphism on Histological Micrographs. Proc. Int. Conf. Pattern Recognition (2008)

Ratle, Frederic and Weston, Jason and Miller, Matthew: Large-scale clustering through functional embedding. Machine Learning: ECML 2008 (2008) (link)

Weston, Jason: Large Scale Semi-Supervised Learning. Proceedings of NATO Advanced Study Institute on Mining Massive Data Sets for Security (2008) (link)

Melvin, Iain and Weston, Jason and Leslie, Christina and Noble, William Stafford: Combining classifiers for improved classification of proteins from sequence or structure. BMC Bioinformatics (2008) (link)

Collobert, Ronan and Weston, Jason: A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Karlen, Michael and Weston, Jason and Erkan, Ayse and Collobert, Ronan: Large Scale Manifold Transduction. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Weston, Jason and Ratle, Frédéric and Collobert, Ronan: Deep Learning via Semi-Supervised Embedding. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Melvin, Iain and Weston, Jason and Leslie, Christina and Noble, William Stafford: RANKPROP: a web server for protein remote homology detection. Bioinformatics (2008) (link)

Malon, Christopher and Miller, Matt and Burger, Christopher and Cosatto, Eric and Graf, Hans Peter: Identifying Histological Elements with Convolutional Neural Networks. Proc. ACM CSTST 2008 Workshop on Computational Intelligence in Medical Imaging (2008)

Y. Qi and F. Balem and C. Faloutsos and J. Klein-Seetharaman and Z. Bar-Joseph: Protein Complex Identification by Supervised Graph Clustering. The 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB) (13) (2008)

L. Pena-Castillo and et al and Y. Qi and et al and F.P. Roth: A Critical Assessment of M. Musculus Gene Function Prediction using Integrated Genomic Evidence. Genome Biology (S1) (2008)

Léon Bottou and Olivier Bousquet: Learning Using Large Datasets. Mining Massive DataSets for Security (2008) (link)

R. Begleiter and R. El-Yaniv and D. Pechyony: Repairing Self-Confident Active Transductive Learners using Systematic Exploration. Pattern Recognition Letters (9) (2008)

C. Cortes and M. Mohri and D. Pechyony and A. Rastogi: Stability of transductive regression algorithms. Proceedings of the 25th International Conference on Machine Learning (ICML) (2008)

D. Grangier and S. Bengio: A Discriminative Kernel-based Model to Rank Images from Text Queries. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). In press. (2008)

R. El-Yaniv and D. Pechyony and V. Vapnik: Large margin vs. large volume in transductive learning. Machine Learning Journal (3) (2008)

B. Bai and P. Kantor: A Shape-Based Finite Impulse Response Model for functional Brain Images. Proceedings of the 4th IEEE International Symposium on Biomedical Imaging (ISBI07) (2007) (link)

Antoine Bordes and Léon Bottou and Patrick Gallinari and Jason Weston: Solving MultiClass Support Vector Machines with LaRank. Proceedings of the 24th International Machine Learning Conference (2007) (link)

Akshay Vashist and Casimir A. Kulikowski and Ilya B. Muchnik: Ortholog Clustering on a Multipartite Graph. IEEE/ACM Trans. Comput. Biology Bioinform. (1) (2007)

B. Bai and P. Kantor and A. Shokoufandeh: The Effectiveness of Finite Impulse Response Model in Content-based fMRI Image Retrieval. Proceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI07) (2007) (link)

Weston, Jason and BakIr, Goekhan and Bousquet, Olivier and Schölkopf, Bernhard and Mann, T. and Noble, William Stafford: Joint Kernel Maps. Predicting Structured Data (2007) (link)

Collobert, Ronan and Weston, Jason: Fast Semantic Extraction Using a Novel Neural Network Architecture. 45th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Accepted. (2007) (link)

Zhipeng Zhao and Akshay Vashist and Ahmed M. Elgammal and Ilya B. Muchnik and Casimir A. Kulikowski: Combinatorial and statistical methods for part selection for object recognition. Int. Jl. Comput. Math. (9) (2007)

Durdanovic, I. and Cosatto, E. and Graf, H.P.: Large Scale Parallel SVM Implementation. Large Scale Kernel Machines (2007) (link)

B. Bai and P. Kantor and A. Shokoufandeh and D. Silver: fMRI Brain Image Retrieval Based on ICA Components. Proceedings of Encuentro Nacional de Computacion: Current Trends in Computer Science (ENC07) (2007) (link)

B. Bai and P. Kantor and N. Cornea and D. Silver: Toward Content-based Indexing and Retrieval of Functional Brain Images. Proceedings of the 8th Conference of Recherche d'Information Assistee par Ordinateur (RIAO 07) (2007) (link)

Cortes, Corinna and Mohri, Mehryar and Weston, Jason: A General Regression Framework for Learning String-to-String Mappings. Predicting Structured Data (2007) (link)

Y. Qi and J. Klein-Seetharaman and Z. Bar-Joseph: A mixture of feature experts approach for protein-protein interaction prediction. BMC Bioinformatics (S10) (2007)

Sonnenburg, Sören and Braun, Mikio L. and Ong, Cheng Soon and Bengio, Samy and Bottou, Léon and Holmes, Geoffrey and LeCun, Yann and Müller, Klaus-Robert and Pereira, Fernando and Rasmussen, Carl Edward, Rätsch, Gunnar and Schölkopf, Bernhard and Smola, Alexander and Vincent, Pascal and Weston, Jason and Williamson Robert: The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research (2007) (link)

R. El-Yaniv and D. Pechyony: Transductive Rademacher complexity and its applications. Proceedings of the 20th Annual Conference on Learning Theory (COLT) (2007)

Seyda Ertekin and Jian Huang and Léon Bottou and C. Lee Giles: Learning on the Border: Active Learning in Imbalanced Data Classification. Proceedings of the 16th Conference on Information and Knowledge Management, CIKM2007 (2007) (link)

BakIr, Gökhan and Schölkopf, Bernhard and Weston, Jason: On the pre-image problem in kernel methods. Kernel Methods in Bioengineering, Signal and Image Processing (2007) (link)

J. Keshet, D. Grangier and S. Bengio: Discriminative Keyword Spotting. International Workshop on Non-LInear Speech Processing (NOLISP) (2007)

N. Wacholder and D. Kelly and P. Kantor and R. Rittman and Y. Sun and B. Bai and S. Small and B. Yamrom and T. Strzalkowski: A Model for Quantitative Evaluation of an End-to-end Question Answering System. Journal of the American Society for Information Science and Technology (8) (2007)

P. Barbano and M. Spivak and M. Flajolet and A. Nairn and L. Greengard and P. Greengard: A New Tool for Exploring Biological Network Dynamics. PNAS () (2007)

Collobert, Ronan and Sinz, Fabian and Weston, Jason and Bottou, Léon: Trading Convexity for Scalability. Large Scale Kernel Machines (2007) (link)

D. Grangier and S. Bengio: Learning the Inter-frame Distance for Discriminative Template-based Keyword Detection. International Conference on Speech Processing (INTERSPEECH) (2007)

Loosli, Gaëlle and Canu, Stéphane and Bottou, Léon: Training Invariant Support Vector Machines using Selective Sampling. Large Scale Kernel Machines (2007) (link)

Bottou, Léon and Lin, Chih-Jen: Support Vector Machine Solvers. Large Scale Kernel Machines (2007) (link)

Lukas Kall and Jesse Canterbury and Jason Weston and William S. Noble and Michael J. MacCoss: Semi-Supervised Learning for Peptide Identification from Shotgun Proteomics Datasets. Nature Methods (2007) (link)

Melvin, Iain and Ie, Eugene and Weston, Jason and Noble, William Stafford and Leslie, Christina: Multi-class protein classification using adaptive codes. Journal of Machine Learning Research (2007)

K.B. NG and P. Kantor and T. Strzalkowski and N. Wacholder and R. Tang and B. Bai and R. Rittman and P. Song and Y. Sun: Automated Judgment of Document Qualities. Journal of the American Society for Information Science and Technology (9) (2006)

Collobert, Ronan and Weston, Jason and Bottou, Léon: Trading Convexity for Scalability. Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006) (2006) (link)

R. El-Yaniv and D. Pechyony: Stable Transductive Learning. Proceedings of the 19th Annual Conference on Learning Theory (COLT) (2006)

Collobert, Ronan and Sinz, Fabian and Weston, Jason and Bottou, Léon: Large Scale Transductive SVMs. Journal of Machine Learning Research (2006) (link)

Akshay Vashist and Zhipeng Zhao and Ahmed Elgammal and Ilya Muchnik and Casimir Kulikowski: Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object Recognition. CVPRW '06: Proc of 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

Y. Qi and Z. Bar-Joseph and J. Klein-Seetharaman: Evaluation of different biological data and computational classification methods for use in protein interaction prediction.. PROTEINS: Structure, Function, and Bioinformatics. (3) (2006)

Weston, Jason and Collobert, Ronan and Sinz, Fabian and Bottou, Léon and Vapnik, Vladimir: Inference with the Universum. Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006) (2006) (link)

D. Grangier and F. Monay and S. Bengio: A Discriminative Approach for the Retrieval of Images from Text Queries. European Conference on Machine Learning (ECML) (2006)

D. Grangier and F. Monay and S. Bengio: Learning to Retrieve Images from Text Queries with a Discriminative Model. International Workshop on Adaptive Multimedia Retrieval (AMR) (2006)

Akshay Vashist and Casimir A. Kulikowski and Ilya B. Muchnik: Protein Function Annotation Based on Ortholog Clusters Extracted from Incomplete Genomes Using Combinatorial Optimization. Proc of 10^{th} Intl ACM Conf on Research in Computational Molecular Biology (RECOMB) (2006)

D. Grangier and S. Bengio: A Neural Network to Retrieve Images from Text Queries. International Conference on Artificial Neural Networks (ICANN) (2006)

Melvin, Iain and Ie, Eugene and Kuang, Rui and Weston, Jason and Noble, William and Leslie, Christina: SVM-fold : a tool for discriminative multi-class protein fold and superfamily recognition. BMC Bioinformatics (2006) (link)

LeCun, Y. and Muller, U. and Ben, J. and Cosatto, E. and Flepp, B.: Off-road obstacle avoidance through end-to-end learning. Advances in neural information processing systems (2006)

Vapnik, Vladimir: Transductive Inference and Semi-Supervised Learning. Semi-Supervised Learning (2006)

B. Bai and P. Kantor and N. Cornea and D. Silver: IR Principles for Content-based Indexing and Retrieval of Functional Brain Images. Proceedings of the 15th ACM Conference on Information and Knowledge Management (CIKM06) (2006) (link)

Weston, Jason and Leslie, Christina and Ie, Eugene and Zhou, Dengyong and Elisseeff, Andre and Noble, William Stafford: Semi-supervised protein classification using cluster kernels. Semi-Supervised Learning (2006) (link)

Lal, T. N. and Chapelle, Olivier and Weston, Jason and Elisseeff, Andre: Embedded Methods. Feature extraction, foundations and Applications (2006) (link)

Ning, Feng and Delhomme, Damien and LeCun, Yann and Piano, Fabio and Bottou, Léon and Barbano, Paolo Emilio: Toward Automatic Phenotyping of Developing Embryos from Videos. IEEE Transactions in Image Processing (9) (2005) (link)

Bottou, Léon and LeCun, Yann: Graph Transformer Networks for Image Recognition. Bulletin of the International Statistical Institute (ISI) (2005) (link)

Bottou, Léon and LeCun, Yann: On-line Learning for Very Large Datasets. Applied Stochastic Models in Business and Industry (2) (2005) (link)

Kuang, Rui and Weston, Jason and Noble, William Stafford and Leslie, Christina: Motif-based protein ranking by network propagation. Bioinformatics (19) (2005) (link)

Bordes, Antoine and Ertekin, Seyda and Weston, Jason and Bottou, Léon: Fast Kernel Classifiers with Online and Active Learning. Journal of Machine Learning Research (2005) (link)

Y. Qi and J. Klein-Seetharaman and Z. Bar-Joseph: Random Forest Similarity for Protein-Protein Interaction Prediction from Multiple Sources.. Pacific Symposium on Biocomputing (PSB) (2005)

P. Barbano and M. Spivak and J. Feng and M. Antoniotti and Bud Mishra: A Coherent Framework for Multi-Resolution Analysis of Biological Networks with Memory: RAS pathway, Cell Cycle and Immune System. PNAS () (2005)

Weston, Jason and Leslie, Christina and Ie, Eugene and Zhou, Dengyong and Elisseeff, Andre and Noble, William Stafford: Semi-supervised protein classification using cluster kernels. Bioinformatics (15) (2005) (link)

Y. Qi and J. Klein-Seetharaman and Z. Bar-Joseph: A mixture of experts approach for protein-protein interaction prediction. NIPS: The workshop on Computational Biology and the Analysis of Heterogeneou (2005)

Noble, William Stafford and Kuang, Rui and Leslie, Christina and Weston, Jason: Identifying remote protein homologs by network propagation. FEBS Journal (2005) (link)

D. Grangier and S. Bengio: Inferring Document Similarity from Hyperlinks. ACM Conference on Information and Knowledge Management (CIKM) (2005)

D. Grangier and S. Bengio: Exploiting Hyperlinks to Learn a Retrieval Model. NIPS Workshop on Learning to Rank (2005)

Ie, Eugene and Weston, Jason and Noble, William Stafford and Leslie, Christina: Multi-class protein fold recognition using adaptive codes. Proceedings of the Twenty-second International Conference on Machine Learning (ICML 2005) (2005) (link)

Weston, Jason and Kuang, Rui and Leslie, Christina and Noble, William: Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinformatics Special Issue (2005) (link)

Akshay Vashist and Casimir Kulikowski and Ilya Muchnik: Candidate Ortholog Clusters in Human, Mouse and Chicken genomes. Proc of IMACS World Congress (2005)

Bordes, Antoine and Bottou, Léon: The Huller: a simple and efficient online SVM. Machine Learning: ECML 2005 (2005) (link)

BakIr, Gökhan and Bottou, Léon and Weston, Jason: Breaking SVM Complexity with Cross-Training. Advances in Neural Information Processing Systems (2005) (link)

Weston, Jason and Bordes, Antoine and Bottou, Léon: Online (and Offline) on an Even Tighter Budget. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, January 2005, Barbados (2005) (link)

Akshay Vashist and Casimir A. Kulikowski and Ilya B. Muchnik: Ortholog Clustering on a Multipartite Graph. Proc of workshop on Algorihtms in Binformatics (WABI) (2005)

Rong Zhang and Akshay Vashist and Ilya B. Muchnik and Casimir A. Kulikowski and Dimitris N. Metaxas: A New Combinatorial Approach to Supervised Learning: Application to Gait Recognition. Proc of IEEE Analysis and Modelling of Faces and Gestures (AMFG) (2005)

Cortes, Corinna and Mohri, Mehryar and Weston, Jason: A General Regression Technique for Learning Transductions. Proceedings of the Twenty-second International Conference on Machine Learning (ICML 2005) (2005) (link)

Matt L. Miller: Greedy perceptual coding. International conference on information, communication and signal processing (2005)

D. Grangier and A. Vinciarelli: Effect of Segmentation Method on Video Retrieval Performance. IEEE International Conference on Multimedia and Expo (ICME) (2005)

Akshay Vashist and Casimir A. Kulikowski and Ilya B. Muchnik: Screening for Ortholog Clusters Using Multipartite Graph Clustering by Quasi-Concave Set Function Optimization. Proc of 10th Intl Conf on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 10th International Conference (2005)

Weston, Jason and Schölkopf, Bernhard and Bousquet, Olivier: Joint Kernel Maps. Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired System) (2005) (link)

Graf, Hans Peter and Cosatto, Eric and Bottou, Léon and Durdanovic, Igor and Vapnik, Vladimir: Parallel Support Vector Machines: The Cascade SVM. Advances in Neural Information Processing Systems (2005) (link)

Hankyu Moon and Matt L. Miller: Estimating facial pose from a sparse representation. International conference on image processing (2004)

LeCun, Yann and Bottou, Léon and HuangFu, Jie: Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. Proc. of Computer Vision and Pattern Recognition (2004) (link)

Cosatto, E. and Graf, H.P. and Ostermann, J.: From Audio-Only to Audio and Video Text-to-Speech. Acta Acustica united with Acustica (6) (2004)

A.G. Hauptmann and J. Gao and R. Yan and Y. Qi and J. Yang: Automated Analysis of Nursing Home Observations. IEEE Pervasive Computing, Special Issue on Pervasive Computing for Successful Aging (2) (2004)

Bottou, Léon and LeCun, Yann: Large Scale Online Learning. Advances in Neural Information Processing Systems 16 (2004) (link)

Matt L. Miller: Watermark embedding for black-box channels. International workshop on digital watermarking (2004) (link)

Léon Bottou: Stochastic Learning. Advanced Lectures on Machine Learning (LNAI 3176) (2004) (link)

Zhou, D. and Weston, Jason and A. Gretton and Bousquet, Olivier and Schölkopf, Bernhard: Ranking on Data Manifolds. Advances in Neural Information Processing Systems (2004) (link)

N. Wacholder and S. Small and B. Bai and D. Kelly and R. Rittman and S. Ryan and R. Salkin and P. Song and Y. Sun and T. Liu and P. Kantor and T. Strzalkowski: Designing a realistic evaluation of an end-to-end interactive question-answering system. Proceedings of Language Evaluation and Resources Conference (LREC) (2004)

Still, Susanne and Bialek, William and Bottou, Léon: Geometric Clustering Using the Information Bottleneck Method. Advances in Neural Information Processing Systems 16 (2004) (link)

B. Bai and K.B. Ng and Y. Sun and P. Kantor and T. Strzalkowski: The Institutional Dimension of Document Quality Judgments. Proceedings of the 2004 Annual Meeting of American Society for Information Science and Technology (2004)

Weston, Jason and Leslie, Christina and Zhou, Dengyong and Elisseeff, Andre and Noble, William: Semi-Supervised Protein Classification using Cluster Kernels. Advances in Neural Information Processing Systems (2004) (link)

Leslie, Christina and Eskin, E and Cohen, A. and Weston, Jason and Noble, William Stafford: Mismatch string kernels for discriminative protein classification. Bioinformatics (4) (2004) (link)

A. Fiat and D. Pechyony: Decision Trees: More Theoretical Justification for Practical Algorithms. Proceedings of 15th International Conference on Algorithmic Learning Theory (ALT) (2004)

Osadchy, M. and Miller, Matthew and LeCun, Y.: Synergistic Face Detection and Pose Estimation with Energy-Based Models. Advances in Neural Information Processing Systems (NIPS 2004) (2004)

Weston, Jason and Elisseeff, Andre and Zhou, Dengyong and Leslie, Christina and W. S. Noble: Protein ranking: from local to global structure in the protein similarity network. Proceedings of the National Academy of Science (17) (2004) (link)

BakIr, Gökhan and Weston, Jason and Schölkopf, Bernhard: Learning to Find Pre-Images. Advances in Neural Information Processing Systems (2004) (link)

Lal, T.N. and M. Schröder and T. Hinterberger and Weston, Jason and M. Bogdan and N. Birbaumer and Schölkopf, Bernhard: Support Vector Channel Selection in BCI. IEEE Transactions on Biomedical Engineering (6) (2004) (link)

Eichhorn, Jan and Tolias, Andreas and Zien, Alex and Kuss, Malte and Rasmussen, Carl and Weston, Jason and Logothetis, Nikos and Schölkopf, Bernhard: Prediction on Spike Data Using Kernel Algorithms. Advances in Neural Information Processing Systems (2004) (link)

Zhou, D. and Bousquet, Olivier and T.N. Lal and Weston, Jason and Schölkopf, Bernhard: Learning with Local and Global Consistency. Advances in Neural Information Processing Systems (2004)

Chapelle, O. and Schölkopf, Bernhard and Weston, Jason: Semi-Supervised Learning through Principal Directions Estimation. ICML Workshop, The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining (2003) (link)

Weston, Jason and Schölkopf, Bernhard and Eskin, Eleazar and Leslie, Christina and Noble, William: Dealing with large Diagonals in Kernel Matrices. Annals of the Institute of Statistical Mathematics (2) (2003) (link)

Schölkopf, B. and I. Guyon and Weston, Jason: Statistical Learning and Kernel Methods in Bioinformatics. Artificial Intelligence and Heuristic Methods in Bioinformatics (2003)

Chapelle, O. and Weston, Jason and Schölkopf, Bernhard: Cluster Kernels for Semi-Supervised Learning.. Advances in Neural Information Processing Systems (2003) (link)

Weston, Jason and Pérez-Cruz, Fernando and Bousquet, Olivier and Chapelle, Olivier and Elisseeff, Andre and Schölkopf, Bernhard: Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics (6) (2003) (link)

Pérez-Cruz, Fernando and Weston, Jason and Herrmann, Daniel and Schölkopf, Bernhard: Extension of the nu-SVM range for classification. Advances in Learning Theory: Methods, Models and Applications (2003) (link)

Weston, Jason and Elisseeff, Andre and Schölkopf, Bernhard and M. Tipping: Use of the Zero-Norm with Linear Models and Kernel Methods. Journal of Machine Learning Research (7-8) (2003) (link)

Leslie, C. and E. Eskin and Weston, Jason and W. S. Noble: Mismatch String Kernels for SVM Protein Classification.. Advances in Neural Information Processing Systems (2003) (link)

Cosatto, E. and Ostermann, J. and Graf, H.P. and Schoeter, J.: Lifelike talking faces for interactive services. Proceedings of the IEEE (9) (2003)

Weston, Jason and Chapelle, Olivier and Elisseeff, Andre and Schölkopf, Bernhard and Vapnik, Vladimir: Kernel Dependency Estimation.. Advances in Neural Information Processing Systems (2003) (link)

Reibman, Amy R. and Bottou, Léon and Basso, Andrea: Scalable video coding with managed drift. IEEE Transaction on Circuits and Systems for Video Technology (2003) (link)

Pan, David Wendi and Basso, Andrea and Bottou, Léon: An Iterative Algorithm for Accurate Motion Estimation in Very Low Bit Rate Video Coding. Proceedings of the GSPx & ISPC 2003 (The International Signal Processing Conference) (2003) (link)

Mika, Sebastian and Rätsch, Gunnar and Weston, Jason and Schölkopf, Bernhard and A.J. Smola and K.-R. Müller: Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence (5) (2003) (link)

Y. Qi and A.Hauptman and T. Liu: Supervised Classification for Video Shot Segmentation. Proceeding of 2003 IEEE International Conference on Multimedia Expo (ICME 2003) (2003)

Guyon, Isabelle and Weston, Jason and Barnhill, Steven and Vapnik, Vladimir: Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning (2002) (link)

Ronan Collobert and Samy Bengio and Yoshua Bengio: A Parallel Mixture of SVMs for Very Large Scale Problems. Advances in Neural Information Processing Systems 14 (2002)

Pavlidis, P. and Weston, Jason and Cai, J. and Noble, W.S.: Learning Gene Functional Classifications from Multiple Data Types. Journal of Computational Biology (2) (2002)

LaLoudouana, D. and Tarare, M. Bonouliqui: Data Set Selection. (2002) (link)

Haffner, Patrick and Bottou, Léon and LeCun, Yann and Vincent, Luc: A General Segmentation Scheme for DjVu Document Compression. Proceedings of the International Symposium on Mathematical Morphology (ISMM'02) (2002) (link)

Ronan Collobert and Samy Bengio and Yoshua Bengio: A parallel mixture of SVMs for very large scale problems. Neural Computation (5) (2002)

Hauptmann, A. and R. Yan and Y. Qi and Jin, R. and M.Christel and M.Derthick, M. and Y. Chen and R.Baron and W.H.Lin and T.D.Ng: Video Classification and Retrieval with the Informedia Digital Video Library System. the Eleventh Text Retrieval Conference (TREC-2002) (2002)

Bottou, Léon and Murata, Noboru: Stochastic Approximations and Efficient Learning. The Handbook of Brain Theory and Neural Networks, Second edition, (2002) (link)

Jin, R. and Y. Qi and Hauptman,A.: Probabilistic Model for Camera Zoom Detection. Proceedings of the sixteenth conference of the International Association for Pattern Recognition (ICPR 2002) (2002)

Mikheev, Artem and Vincent, Luc and Hawrylycz, Mike and Bottou, Léon: Electronic Document Publishing using DjVu. Proceedings of the IAPR International Workshop on Document Analysis (DAS'02) (2002) (link)

Graf, HP and Cosatto, E. and Strom, V.: Visual prosody: facial movements accompanying speech. Automatic Face and Gesture Recognition, 2002. Proceedings. Fifth IEEE International Conference on (2002) (link)

Huang, F.J. and Cosatto, E. and Graf, HP: Triphone based unit selection for concatenative visual speechsynthesis. Acoustics, Speech, and Signal Processing, 2002. Proceedings.(ICASSP'02). IEEE International Conference on (2002) (link)

Matt L. Miller and Gwenael J. Doerr and Ingemar J. Cox: Dirty-paper trellis codes for watermarking. International conference on image processing (2002) (link)

Schölkopf, B. and Weston, Jason and E. Eskin and Leslie, Christina and W.S. Noble: A kernel approach for learning from almost orthogonal patterns. 13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), Helsinki (2002)

LeCun, Yann and Bottou, Léon and Haffner, Patrick and Triggs, Jeffery and Riemers, Bill and Vincent, Luc: Overview of the DjVu Document Compression Technology. Proceedings of the Symposium on Document Image Understanding Technologies (SDIUT'01) (2001) (link)

Reibman, Amy R. and Bottou, Léon and Basso, Andrea: DCT-based scalable video coding with drift. Proceedings of International Conference on Image Processing 2001 (2001) (link)

Hauptmann, A. and Jin, R. and N. Papernick and D. Ng and Y. Qi and Houghton, R. and Thornton, S.: Video Retrieval with the Informedia Digital Video Library System. Proceedings of the Tenth Text Retrieval Conference (TREC-2001) (2001)

Bottou, Léon and Haffner, Patrick and LeCun, Yann: Conversion of Digital Documents to Multilayer Raster Formats. Proceedings of the Sixth International Conference on Document Analysis and Recognition (2001) (link)

Elisseeff, Andre and Weston, Jason: A kernel method for multi-labeled classification. Advances in Neural Information Processing Systems (2001) (link)

Graf, Hans Peter and Cosatto, Eric: Sample-Based Synthesis of Talking Heads. Proc. Int. 2nd Workshop on Recognition, Analysis and Tracking of Faces and Gestures in Realtime (2001)

Syrdal, A.K. and Ostermann, J. and Cosatto, E. and Graf, H.P.: Recent advances in audio and video text-to-speech synthesis. The Journal of the Acoustical Society of America (2001)

Basso, Andrea and Graf, Hans Peter and Gibbon, David and Cosatto, Eric and Liu, S.: Virtual Light: Digitally Generated Light for Video Conferencing. Image Processing, 2001. Proceedings. 2001 International Conference on (2001) (link)

Reibman, Amy R. and Bottou, Léon: Managing drift in DCT-based scalable video coding. Proceedings IEEE Data Compression Conference 2001 (2001) (link)

LeCun, Y. and Bottou, L. and Erofeev, A. and Haffner, P. and Riemers, W.: DjVu document browsing with on-demand loading and rendering of image components. Internet Imaging (2001) (link)

Graf, H.P. and Cosatto, E.: Sample-Based Synthesis of Talking Heads. Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01) (2001) (link)

Cosatto, E. and Graf, HP: Photo-realistic talking-heads from image samples. Multimedia, IEEE Transactions on (3) (2000) (link)

Y. Qi and Y. Zhong and S. Yang: Design and Implementation of STB SOPCA Software Modules. Proceeding of SPIE, Photonics East (2000)

Mika, Sebastian and Rätsch, Gunnar and Weston, Jason and Schölkopf, Bernhard and A.J. Smola and K.-R. Müller: Invariant feature extraction and classification in kernel spaces.. Advances in Neural Information Processing Systems (2000) (link)

Weston, Jason and Herbrich, Ralf: Adaptive margin Support Vector machines. Advances in Large Margin Classifiers (2000) (link)

Graf, Hans Peter and Cosatto, Eric and Ezzat, Tony: Face analysis for the synthesis of photo-realistic talking heads. Proc. Fourth IEEE Int. Conf. Automatic Face and Gesture Recognition (2000) (link)

Weston, Jason and S. Mukherjee and Chapelle, Olivier and M. Pontil and T. Poggio and Vapnik, Vladimir: Feature Selection for SVMs. Advances in Neural Information Processing Systems (2000) (link)

Cosatto, E. and Potamianos, G. and Graf, HP: Audio-visual unit selection for the synthesis of photo-realistictalking-heads. Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on (2000) (link)

Chapelle, Olivier and Vapnik, Vladimir and Weston, Jason: Transductive Inference for Estimating Values of Functions. Advances in Neural Information Processing Systems 12 (2000) (link)

Schroeter, J. and Ostermann, J. and Graf, HP and Beutnagel, M. and Cosatto, E. and Syrdal, A. and Conkie, A. and Stylianou, Y.: MULTIMODAL SPEECH SYNTHESIS. Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on (2000) (link)

Chapelle, O. and Weston, Jason and Bottou, Léon and Vapnik, Vladimir: Vicinal Risk Minimization. Advances in Neural Information Processing Systems (2000) (link)

Bottou, Léon and Haffner, Patrick and LeCun, Yann and Howard, Paul and Vincent, Pascal: DjVu: Un Système de Compression d'Images pour la Distribution Réticulaire de Documents Numérisés. Actes de la Conférence Internationale Francophone sur l'Ecrit et le Document (2000) (link)

Matt L. Miller and Ingemar J. Cox and Jeffrey A. Bloom: Watermarking in the Real World: An Application to DVD. (1999) (link)

Matt L. Miller and Jeffrey A. Bloom: Computing the Probability of False Watermark Detection. Information Hiding (1999) (link)

Simard, Patrice and Bottou, Léon and Haffner, Patrick and LeCun, Yann: Boxlets: a fast convolution algorithm for neural networks and signal processing. Advances in Neural Information Processing Systems (1999) (link)

Weston, Jason and Gammerman, A. and Stitson, M.O. and Vapnik, V. and Vovk, V. and Watkins, C.: Support vector density estimation. Advances in kernel methods: support vector learning table of contents (1999) (link)

Stitson, Mark and Gammerman, Alex and Vapnik, Vladimir and Vovk, Volodya and Watkins, Chris and Weston, Jason: Support Vector Regression with {ANOVA} Decomposition Kernels. Advances in Kernel Methods --- Support Vector Learning (1999)

Haffner, Patrick and LeCun, Yann and Bottou, Léon and Howard, Paul and Vincent, Pascal: Color Documents on the Web with DjVu. Proceedings of the International Conference on Image Processing (1999) (link)

Herbrich, Ralf and Weston, Jason: Adaptive margin support vector machines for classification. Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470) (1999) (link)

Haffner, P. and Bottou, L. and Howard, P. G. and LeCun, Y.: DjVu : Analyzing and Compressing Scanned Documents for Internet Distribution.. Proceedings of the International Conference on Document Analysis and Recognition. (1999) (link)

Mika, Sebastian and Rätsch, Gunnar and Weston, Jason and Schölkopf, Bernhard and K.-R. Müller: Fisher discriminant analysis with kernels.. Neural Networks for Signal Processing (1999)

Yann LeCun and Haffner, Patrick and Bottou, Léon and Bengio, Yoshua: Object Recognition with Gradient-Based Learning. Feature Grouping (1999) (link)

Ingemar J. Cox and Matt L. Miller and A. L. McKellips: Watermarking as communications with side information. Proceedings of the IEEE (USA) (7) (1999) (link)

Weston, Jason and Watkins, Chris: Multi-class Support Vector Machines. Proceedings ESANN (1999) (link)

Weston, Jason: Leave-One-Out Support Vector Machines. Proceedings of the International Joint Conference o (1999) (link)

Bottou, L. and Howard, P. and Bengio, Y.: The Z-Coder Adaptive Binary Coder. Proceedings IEEE Data Compression Conference 1998 (1998) (link)

Graf, H.P. and Cosatto, E. and Potamianos, G.: Machine Vision of Faces and Facial Features. Proc. The 2nd R.I.E.C. Int. Symposium on Design and Architectures of Information Processing Systems Based on the Brain Information Principle (1998)

Potamianos, G. and Graf, H.P.: Linear Discriminant Analysis for Speechreading. Proc. IEEE Conf. Multimedia Signal Processing (1998)

Cosatto, E. and Graf, HP: Sample-based synthesis of photo-realistic talking heads. Computer Animation 98. Proceedings (1998) (link)

Bottou, L. and Haffner, P. and Howard, P. G. and Simard, P. and Bengio, Y. and LeCun, Y.: High Quality Document Image Compression with DjVu. Journal of Electronic Imaging (3) (1998) (link)

LeCun, Yann and Bottou, Léon and Bengio, Yoshua and Haffner, Patrick: Gradient Based Learning Applied to Document Recognition. Proceedings of IEEE (11) (1998) (link)

LeCun, Yann and Bottou, Léon and Haffner, Patrick and Howard, Paul: DjVu: a compression method for distributing scanned documents in color over the internet. Sixth Color Imaging Conference: Color Science, Systems and Applications (1998) (link)

Haskell, Barry and Howard, Paul and LeCun, Yann and Puri, Atul and Ostermann, Joern and Civanlar, M. Reha and Rabiner, Larry and Bottou, Léon and Haffner, Patrick: Image and video coding - Emerging standards and beyond. IEEE Transaction on Circuits and Systems for Video Technology (7) (1998) (link)

Yann LeCun and Bottou, Léon and Orr, Genevieve B. and Müller, Klaus-Robert: Efficient Backprop. Neural Networks, Tricks of the Trade (1998) (link)

Bottou, Léon: Online Algorithms and Stochastic Approximations. Online Learning and Neural Networks (1998) (link)

Potamianos, G. and Graf, HP and Cosatto, E.: An image transform approach for HMM based automatic lipreading. Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on (1998) (link)

Haffner, Patrick and Bottou, Léon and Howard, Paul G. and Simard, Patrice and Bengio, Yoshua and LeCun, Yann: Browsing through High Quality Document Images with DjVu. Proceedings of IEEE Advances in Digital Libraries'98 (1998) (link)

Bottou, L. and Pigeon, S.: Lossy Compression of Partially Masked Still Images. Proceedings of IEEE Data Compression Conference (1998) (link)

Potamianos, G. and Graf, H.P.: Discriminative Training of HMM Stream Exponents for Audio-Visual Speech Recognition. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP) (1998)

Cosatto, E. and Graf, H.P.: Sample-Based Synthesis of Photo-Realistic Talking Heads. Proc. Computer Animation'98 (1998)

Bottou, L. and LeCun, Y. and Bengio, Y.: Global Training of Document Processing Systems using Graph Transformer Networks. Proc. of Computer Vision and Pattern Recognition (1997) (link)

Potamianos, G. and Cosatto, E. and Graf, H.P. and Roe, D.B.: Speaker independent audio-visual database for bimodal ASR. Proc. AVSP’97 (1997)

I. Cox and J. Ghosn and M. Miller and T. Papathomas and P. Yianilos: Hidden annotation in content based image retrieval. Proc IEEE Worksho (1997) (link)

I. J. Cox and M. L. Miller and R. Danchick and G. E. Newnam: A comparison of two algorithms for determining ranked assignments with application to multitarget tracking and motion correspondence. Trans. Aerospace and Electronic Systems (1) (1997) (link)

LeCun, Y. and Bottou, L. and Bengio, Y.: Reading Checks with graph transformer networks. International Conference on Acoustics, Speech, and Signal Processing (1997) (link)

Cox, Ingemar J. and Miller, Matt L.: A review of watermarking and the importance of perceptual modeling. Proc. of Electronic Imaging '97 (1997) (link)

M. Miller and H. Stone and I. Cox: Optimizing Murty's ranked assignment method. IEEE Transactions on Aerospace and Electronic Systems (1997) (link)

Graf, HP and Cosatto, E. and Potamianos, M.: Robust recognition of faces and facial features with a multi-modalsystem. Systems, Man, and Cybernetics, 1997.'Computational Cybernetics and Simulation'., 1997 IEEE International Conference on (1997) (link)

Bottou, Léon: La mise en oeuvre des idées de V. N. Vapnik. Statistique et méthodes neuronales (1997) (link)

Petajan, E. and Graf, H.P.: Robust Face Feature Analysis for Automatic Speechreading and Character Animation. Proc. 2nd Int. Conf. Automatic Face and Gesture Recognition (1996)

Graf, H.P. and Cosatto, E. and Gibbon, D. and Kocheisen, M. and Petajan, E.: Multi-Modal System for Locating Heads and Faces. Proc. Second Int’l Conf. Automatic Face and Gesture Recognition (1996) (link)

Cosatto, E. and Graf, H.P.: A Robust High Speed Image Understanding System. Adaptive Analogue VLSI Neural Systems (1996)

Cosatto, E. and Graf, HP: A high speed image understanding system. Adaptive Analog VLSI Neural Systems (1996)

Petajan, E. and Graf, H.P.: Robust Face Feature Analysis for Automatic Speechreading and Character Animation. Speechreading by Humans and Machines, Vol. 150 NATO ASI Series, Series F: Computer and Systems Sciences (1996)

Chen, H. and Ostermann, J. and Haskell, B. and Andersson, R. and Chen, T. and Graf, H.P.: Generating Eye Contact by Image Processing. Proc. IEEE IMDSP Workshop, Belize (1996)

Cloutier, J. and Cosatto, E. and Pigeon, S. and Boyer, F. and Simard, P.: VIP: an FPGA-based processor for image processing and neural networks. Proc. MicroNeuro (1996) (link)

Sackinger, E. and Graf, H.P.: A Board System for High-Speed Image Analysis and Neural Networks. IEEE Trans. Neural Networks (1996)

Ingemar J. Cox and Matt L. Miller and Stephen M. Omohundro and Peter N. Yianilos: Target Testing and the PicHunter Bayesian Multimedia Retrieval System. Advances in Digital Libraries (1996) (link)

Jackel, L. and Battista, M. and Baird, H. and Ben, J. and Bromley, J. and Burges, C. and Cosatto, E. and Denker, J. and Graf, H.P. and Katseff, H. and LeCun, Y. and Nohl, C. and Sackinger, E. and Shamilian, J. and Shoemaker, T. and Stenard, C. and Strom, I. and Ting, R. and Wood, T. and Zuraw, C.: Neural-net applications in character recognition and document analysis. Neural-Net Applications in Telecommunications (1995)

Bottou, L\'eon and Bengio, Yoshua: Convergence Properties of the KMeans Algorithm. Advances in Neural Information Processing Systems (1995) (link)

Graf, H.P. and Nohl, C. and Ben, J.: Image Recognition with an Analog Neural Net Chip. Machine Vision and Applications (1995)

LeCun, Yann and Jackel, Lawrence D. and Bottou, Léon and Cortes, Corinna and Denker, John S. and Drucker, Harris and Guyon, Isabelle and Muller, Urs A. and Sackinger, Eduard and Simard, Patrice and Vapnik, Vladimir N.: Learning Algorithms For Classification: A Comparison On Handwritten Digit Recognition. Neural Networks: The Statistical Mechanics Perspective (1995) (link)

Ingemar J. Cox and Matt L. Miller: On finding ranked assignments with application to multitarget tracking and motion correspondence. Trans. Aerospace and Electronic Systems (1995) (link)

Cosatto, E. and Graf, HP: A neural network accelerator for image analysis. Micro, IEEE (3) (1995) (link)

Graf, H.P. and Chen, T. and Petajan, E. and Cosatto, E.: Locating Faces and Facial Parts. Proc. First Int’l Workshop Automatic Face and Gesture Recognition (1995)

Chen, T. and Wang, Y. and Graf, H.P. and Swain, C.: A New Frame Interpolation Scheme for Talking Head Sequences. Proc. IEEE Int. Conf. Image Processing (1995)

Graf, H.P. and Burges, C.J.C. and Cosatto, E. and Nohl, C.R.: Analysis of Complex and Noisy Check Images. Proc. IEEE Int. Conf. Image Processing (1995) (link)

Chen, T. and Graf, H.P. and Chen, H. and Chou, B. and Haskell, B. and Petajan, E. and Wang, Y.: Lip Synchronization in Talking Head Video Utilizing Speech Information. Visual Communications and Image Processing (1995)

Chen, T. and Graf, H.P. and Wang, Y.: Lip Synchronization Using Speech-Assisted Video Processing. IEEE Signal Proc. Letters (1995)

Chen, T. and Graf, H.P. and Haskell, B. and Petajan, E. and Wang, Y. and Chen, H. and Chou, W.: Speech-Assisted Lip Synchronization in Audio-Visual Communications. Proc. IEEE Int. Conf. Image Processing (1995)

Petajan, E. and Graf, H.P.: Automatic Lipreading Research: Historic Overview and Current Work. Proc. Symposium Multimedia Communications and Video Coding (1995)

Simard, P. and Graf, H.P.: Backpropagation without Multiplication. Neural Information Processing Systems (1994)

Sackinger, E. and Graf, HP.: A System for High-Speed Pattern Recognition and Image Analysis. Microelectronics for Neural Networks and Fuzzy Systems, Proceedings of the Fourth International Conference on (1994)

Cosatto, E. and Graf, HP: NET32K high speed image understanding system. Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on (1994) (link)

Chen, T and Graf, H.P. and Wang, K.: Speech Assisted Video Processing: Interpolation and Low-bitrate Coding. Proc. 28th Asilomar Conference (1994)

Graf, H.P. and Cosatto, E.: Address Block Location with a Neural Net System. Neural Information Processing Systems (1994)

Cosatto, E. and Graf, HP: NET32K high speed image understanding system. Microelectronics for Neural Networks and Fuzzy Systems, Proceedings of the Fourth International Conference on (1994) (link)

Bottou, Léon and Cortes, Corinna and Denker, John S. and Drucker, Harris and Guyon, Isabelle and Jackel, Lawrence D. and LeCun, Yann and Muller, Urs A. and Sackinger, Eduard and Simard, Patrice and Vapnik, Vladimir N.: Comparison of classifier methods: a case study in handwritten digit recognition. Proceedings of the 12th IAPR International Conference on Pattern Recognition, Conference B: Computer Vision & Image Processing. (1994) (link)

Vapnik, Vladimir N. and Bottou, Léon: Local Algorithms for Pattern Recognition and Dependencies Estimation. Neural Computation (1993) (link)

Bromley, Jame and Bentz, Jim W. and Bottou, Léon and Guyon, Isabelle and LeCun, Yann and Moore, C. and Säckinger, Eduard and Shah, Roopak: Signature Verification using a Siamese Time Delay Neural Network. International Journal of Pattern Recognition and Artificial Intelligence (1993) (link)

Graf, H.P.: Artificial Neural Networks: Promises and Reality. Acta Forum Engelberg 1992 (1993)

Graf, H.P. and Sackinger, E. and Jackel, L.: Recent Developements of Electronic Neural Nets in North America. Journal of VLSI Signal Processing (1993)

Guyon, I. and Vapnik, V. and Boser, B. and Bottou, L. and Solla, S.A.: Capacity control in linear classifiers for pattern recognition. Proceedings of the 11th IAPR International Conference on Pattern Recognition, Conference B: Pattern Recognition Methodology and Systems (1992) (link)

Guyon, Isabelle and Vapnik, Vladimir N. and Boser, Bernhardt E. and Bottou, Léon and Solla, Sara A.: Structural Risk Minimization for Character Recognition. Advances in Neural Information Processing Systems (1992) (link)

Bottou, Léon and Gallinari, Patrick: A unified formalism for neural net training algorithms. Proceedings of the International Joint Conference on Neural Networks (1992) (link)

Matic, Nada and Guyon, Isabelle and Bottou, Léon and Denker, John S. and Vapnik, Vladimir N.: Computer Aided Cleaning of Large Databases for Character Recognition. Proceedings of the 11th IAPR International Conference on Pattern Recognition, Conference B: Pattern Recognition Methodology and Systems (1992) (link)

Graf, H.P.: Electronic Neural Networks. Enciclopedia Europea (1992)

Graf, H.P.: Kuenstliche Neuronale Netze. Technische Rundschau (October 30, 1992)

Graf, H.P. and Sackinger, E. and Jackel, L.D.: Elektronische Neurale Netze in den USA und Kanada. Mikroelektronik (1992)

Graf, H.P. and Sackinger, E. and Jackel, L.D.: Machine Vision Applications of Analog Neural Net Chips. SPIE Proceedings (1992)

Satyanarayana, S. and Tsividis, Y. and Graf, H.P.: A Reconfigurable VLSI Neural Network. IEEE Journal Solid State Circuits (1992)

Graf, H.P. and Ben, J.I. and Burges, C.J.C. and Nohl, C.R.: Address Block Location and Image Processing Using Neural Net Hardware. Proceedings Advanced Technology Conf., United States Postal Service (1992)

Bottou, Léon and Vapnik, Vladimir N.: Local Learning Algorithms. Neural Computation (1992) (link)

Graf, H.P. and Nohl, C. and Ben, J.: Image Segmentation with Networks of Variable Scale. Neural Information Processing Systems (1992)

Graf, H.P. and Nohl, C. and Ben, J.: Image Recognition with an Analog Neural Net Chip. Proc. 11th Int. Conf. Pattern Recognition (1992)

Bottou, Léon and Gallinari, Patrick: A Framework for the Cooperation of Learning Algorithms. Advances in Neural Information Processing Systems (1991) (link)

Driancourt, Xavier and Bottou, Léon and Gallinari, Patrick: Learning Vector Quantization, Multi Layer Perceptron and Dynamic Time Warping: Comparison and Cooperation. Proceedings of the International Joint Conference on Neural Networks (1991) (link)

Graf, H.P. and Jackel, L.D. and Denker, J.S.: Analog Electronic Neural Networks for Pattern Recognition Applications. Neural Networks: Concepts, Applications, and Implementations (1991)

Driancourt, Xavier and Bottou, Léon and Gallinari, Patrick: Comparison and Cooperation of Several Classifiers. Proceedings of the International Conference on Artificial Neural Networks (1991) (link)

Bottou, Léon: Stochastic Gradient Learning in Neural Networks. Proceedings of Neuro-Nimes 91 (1991) (link)

Jackel, L.D. and Stenard, C.E. and Baird, H.S. and Boser, B. and Bromley, J. and Burges, C.J. and Denker, J.S. and Graf, H.P. and Henderson, D. and Howard, R.E. and Hubbard, W. and LeCun, Y. and Matan, O. and Pednault, E. and Satterfield, W. and Sackinger, E. and Thompson, T.: A Neural Network Approach to Handprint Character Recognition. Proc. 36th IEEE Computer Society International Conference (1991)

Graf, H.P. and Sackinger, E. and Boser, B. and Jackel, L.D.: Recent Developements of Electronic Neural Nets in the US and Canada. Proceedings 2nd International Conference Microelectronics for Neural Networks (1991)

Graf, H.P. and Janow, R. and Lee, R.: Reconfigurable Neural Net Chip with 32k Connections. Neural Information Processing Systems (1991)

Graf, H.P. and Janow, R. and Nohl, C.R. and Ben, J.: A Neural-Net Board System for Machine Vision Applications. Proceedings International Joint Conference on Neural Networks (1991)

Driancourt, Xavier and Bottou, Léon: TDNN-Extracted features. Proceedings of Neuro Nimes 90 (1990) (link)

Mejia, Carlos and Bottou, Léon and Fogelman Soulié, Françoise: Galatea: A library for connectionist applications. Proceedings of the International Neural Networks Conference, INNC'90 (1990) (link)

Graf, H.P. and Henderson, D.: A Reconfigurable CMOS Neural Network. Digest International Solid State Circuits Conference (ISSCC) (1990)

Jackel, L.D. and Boser, B. and Denker, J.S. and Graf, H.P. and LeCun, Y. and Guyon, I. and Henderson, D. and Howard, R.E. and Hubbard, W. and Solla, S.A.: Hardware Requirements for Neural-Net Optical Character Recognition. Proceedings International Joint Conference Neural Networks (1990)

Jackel, L.D. and Boser, B. and Graf, H.P. and Denker, J.S. and LeCun, Y. and Howard, R.E.: Electronic Neural-Net Hardware. Proceedings International Conference Neural Networks: "Les Entretiens de Lyon" (1990)

LeCun, Y. and Jackel, L.D. and Graf, H.P. and Boser, B. and Denker, J.S. and Guyon, I. and Henderson, D. and Howard, R.E. and Hubbard, W. and Solla, S.: Handwritten digit recognition: Applications of neural net chips and automatic learning. Neurocomputing, Algorithms, Architectures and Applications (1990)

Bottou, Léon and Fogelman Soulié, Françoise and Blanchet, Pascal and Lienard, Jean Sylvain: Speaker independent isolated digit recognition: Multilayer perceptron vs Dynamic Time Warping. Neural Networks (1990) (link)

Jackel, L.D. and Graf, H.P. and Boser, B. and Denker, J.S. and LeCun, Y. and Henderson, D. and Howard, R.E. and Matan, O. and Baird, H.S.: Hardware Considerations for Neural-Net Character Recognition Systems. From Pixels to Features II (1990)

LeCun, Y. and Jackel, L.D. and Graf, H.P. and Boser, B. and Denker, J.S. and Guyon, I. and Henderson, D. and Howard, R.E. and Hubbard, W. and Solla, S.: Optical Character Recognition and Neural-Net Chips. Proceedings International Conference on Neural Networks (1990)

Graf, H.P. and Jackel, L.D. and Boser, B.E. and Sackinger, E.: Microelectronic Implementations of Neural Networks. Digest 8th Int. Workshop on Future Electron Devices, R&D Association for Future Electron Devices (1990)

Howard, R.E. and Boser, B. and Denker, J.S. and Graf, H.P. and Henderson, D. and Hubbard, W. and Jackel, L.D. and LeCun, Y.: Optical Character Recognition: A Technology Driver for Neural Networks. Proceedings IEEE Int. Symp. Circuits and Systems (May 1-3, 1990)

Satyanarayana, S. and Tsividis, Y. and Graf, H.P.: A Reconfigurable Analog VLSI Neural Network Chip. Neural Information Processing Systems (1990)

Bottou, Léon and Fogelman Soulié, Françoise. and Blanchet, Pascal and Lienard, Jean Sylvain: Experiments with Time Delay Networks and Dynamic Time Warping for Speaker Independent Isolated Digit Recognition. Proceedings of EuroSpeech 89 (1989) (link)

Bedworth, M.D. and Bottou, L. and Bridle, J. S. and Fallside, F. and Flynn, L. and Fogelman Soulié, F. and Ponting, K.M. and Prager, R.W.: Comparison of neural and conventional classifiers on a speech recognition problem. Proceedings of IEE 1st International Conference on Artificial Neural Networks (1989) (link)

Satyanarayana, S. and Tsividis, Y. and Graf, H.P.: Analog Neural Networks with Distributed Neurons. Electronics Letters (1989)

Graf, H.P. and Jackel, L.D.: Analog Electronic Neural Network Circuits. IEEE Circuits and Devices Magazine (1989)

LeCun, Y. and Jackel, L.D. and Boser, B. and Graf, H.P. and Guyon, I. and Henderson, D. and Howard, R.E. and Hubbard, W.: Handwritten Digit Recognition: Applications of Neural Network Chips and Automatic Learning. IEEE Communications Magazine (Novmber, 1989)

Denker, J.S. and Gardner, W.R. and Graf, H.P. and Henderson, D. and Howard, R.E. and Hubbard, W. and Jackel, L.D. and LeCun, Y. and Baird, H.S. and Guyon, I.: Recognizing the Handwriting on the Wall. MVA/SME's Quarterly on Vision Technology (1989)

Graf, H.P. and Hubbard, W.: VLSI Neural Network for Fast Pattern Matching. Neural Networks, from Models to Applications (1989)

Denker, J.S. and Gardner, W.R. and Graf, H.P. and Henderson, D. and Howard, R.E. and Hubbard, W. and Jackel, L.D. and LeCun, Y. and Baird, H.S. and Guyon, I.: Neural Network Recognizer for Hand-Written Zip Code Digits. Advances in Neural Information Processing (1989)

Baird, H.S. and Graf, H.P. and Jackel, L.D. and Hubbard, W.E.: A VLSI Architecture for Binary Image Classification. From Pixels to Features (1989)

LeCun, Y. and Jackel, L. and Boser, B. and Denker, J. and Graf, H.P. and Guyon, I. and Henderson, D. and Howard, R. and Hubbard, W.: Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning. Neurocomputing, Algorithms, Architectures and Applications (1989)

Bottou, Léon: Reconnaissance de la parole par reseaux connexionnistes. Proceedings of Neuro Nimes 88 (1988) (link)

Graf, H.P. and Jackel, L.D.: VLSI Implementation of Neural Network Models. Concurrent Computations (1988)

Graf, H.P. and Jackel, L.D.: Advances in Neural Network Hardware. Proceedings International Electron Devices Meeting (IEDM) (1988)

Jackel, L.D. and Graf, H.P. and Hubbard, W. and Denker, J.S. and Henderson, D. and Guyon, I.: An Application of Neural Network Chips: Handwritten Character Recognition. Proc. Int. Conf. Neural Networks (1988)

Howard, R.E. and Jackel, L.D. and Graf, H.P.: Electronic Neural Network Chips: A New Class of Computing Hardware. Nikkei Microdevices (1988)

Mackie, S. and Graf, H.P. and Schwarz, D.B.: Implementations of Neural Network Models in VLSI. Neural Computers (1988)

Graf, H.P. and Jackel, L.D. and Hubbard, W.: VLSI Implementation of a Neural Network Model. IEEE COMPUTER (1988)

Macki, S. and Graf, H.P. and Schwartz, D.B. and Denker, J.S.: Microelectronic Implementations of Connectionist Neural Networks. Neural Information Processing Systems (1988)

Jackel, L.D. and Howard, R.E. and Graf, H.P.: Electronic Neural Networks. Proc. Third Int. Conf. Supercomputing (1988)

Howard, R.E. and Jackel, L.D. and Graf, H.P.: Electronic Neural Network Chips. Proc. 5th Int. Workshop on Future Electron Devices (1988)

Howard, R.E. and Jackel, L.D. and Graf, H.P.: Electronic Neural Networks. AT&T Technical Journal (1988)

Bottou, Léon and LeCun, Yann: SN: A Simulator for Connectionist Models. Proceedings of NeuroNimes 88 (1988) (link)

Jackel, L.D. and Graf, H.P. and Howard, R.E.: Electronic Neural - Network Chips. Applied Optics (1987)

Howard, R.E. and Jackel, L.D. and Graf, H.P.: Electronic Neural Networks. Digest Thirteenth European Solid-State Circuits Conf. (1987)

Graf, H.P. and Hubbard, W. and Jackel, L.D. and deVegvar, P.: A CMOS Associative Memory Chip. Proc. IEEE Int. Conf. Neural Networks (1987)

Graf, H.P. and deVegvar, P.: A CMOS Associative Memory Chip Based on Neural Networks. Digest 1987 IEEE Int. Solid-State Circuits Conf. (ISSCC) (1987)

Graf, H.P. and deVegvar, P.: A CMOS Implementation of a Neural Network Model. Proc. Stanford Conf. Advanced Research in VLSI (1987)

Schwartz, D.B. and Howard, R.E. and Denker, J.S. and Epworth, R.W. and Graf, H.P. and Hubbard, W. and Jackel, L.D. and Straughn, B. and Tennant, D.M.: Dynamics of microfabricated electronic neural networks. Applied Physics Letters (1987)

Howard, R.E. and Schwartz, D.B. and Denker, J.S. and Epworth, R.E. and Graf, H.P. and Hubbard, W. and Jackel, L.D. and Straughn, B. and Tennant, D.M.: An Associative Memory Based on an Electronic Neural Network Architecture. IEEE Trans. Electron Devices (1987)

Antoine Bordes and Léon Botto: Solving MultiClass Support Vector Machines with LaRank. Proceedings of the 24th International Machine Learning Conference (00)

Pavlidis, Paul and Weston, Jason and Cai, J. and Grundy, William: Gene functional classification from heterogeneous data. Proceedings of the Fifth International Conference on Computational Molecular Biology (00)

Bi, J. and Vapnik, Vladimir: Learning with rigorous support vector machines. Proceedings of the 16th Annual Conference on Learning Theory

Tech Reports

D. Grangier and S. Bengio: A Discriminative Decoder for the Recognition of Phoneme Sequences. (IDIAP-RR) (67) (2005)

D. Grangier and A. Vinciarelli: Effect of Recognition Errors on Text Clustering. (IDIAP-RR) (82) (2004)

Akshay Vashist and Casimir Kulikowski and Ilya Muchnik: Automatic screening for groups of orthologous genes in comparative genomics using multiple-component clustering. (DIMACS-TR) (33) (2004)

Weston, Jason and BakIr, Gökhan: Fast Binary and Multi-Output Reduced Set Selection. Max-Planck-Institute for Biological Cybernetics (132) (2004) (link)

Weston, Jason and Schölkopf, Bernhard and Bousquet, Olivier and Mann and Noble: Joint Kernel Maps. Max-Planck-Institute for Biological Cybernetics (131) (2004) (link)

Weston, Jason and Christina Leslie and Andre Elisseeff and William Stafford Noble: Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms. Max-Planck-Institute for Biological Cybernetics (111) (2003)

Zhou, D. and Bousquet, Olivier and T.N. Lal and Weston, Jason and Schölkopf, Bernhard: Learning with Local and Global Consistency. Max Planck Institute for Biological Cybernetics (112) (2003) (link)

Lal, Navin and Schröder, Michael and Hinterberger, Thilo and Weston, Jason and Bogdan, Martin and Birbaumer, Niels and Schölkopf, Bernhard: Support Vector Channel Selection in BCI. Max Planck Institute for Biological Cybernetics (120) (2003) (link)

Zhou, D. and Weston, Jason and A. Gretton and Bousquet, Olivier and Schölkopf, Bernhard: Ranking on Data Manifolds. Max Planck Institute for Biological Cybernetics (113) (2003)

Ronan Collobert and Samy Bengio and Johnny Mariéthoz: Torch: a modular machine learning software library. (02-46) (2002)

Weston, Jason and Chapelle, Olivier and Elisseeff, Andre and Schölkopf, Bernhard and Vapnik, Vladimir: Kernel Dependency Estimation. Max Planck Institute for Biological Cybernetics (98) (2002) (link)

Weston, Jason and Pérez-Cruz, Fernando and Bousquet, Olivier and Chapelle, Olivier and Elisseeff, Andre and Schölkopf, Bernhard: Feature Selection and Transduction for Prediction of Molecular Bioactivity for Drug Design. (2002) (link)

Weston, Jason and Pérez-Cruz, Fernando and Bousquet, Olivier and Chapelle, Olivier and Elisseeff, Andre and Schölkopf, Bernhard: KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug design -- Binding to Thrombin. (2001) (link)

Weston, Jason and Chapelle, O. and Guyon,I.: Data cleaning algorithms with applications to micro-array experiments. Biowulf Technologies (2001)

Weston, Jason and Elisseeff, Andre and Schölkopf, Bernhard: Use of the L_0-norm with linear models and kernel methods. Biowulf Technologies (2001)

Bottou, Léon and LeCun, Yann and Vapnik, Vladimir: Report: Predicting Learning Curves without the Ground Truth Hypothesis. (1999) (link)

Saunders, Craig and Stitson, Mark and Weston, Jason and Bottou, Léon and Schölkopf, Bernhard and Smola, Alex: Support Vector Machine Reference Manual. University of London (CSD-TR-98-03) (1998) (link)

Bottou, Léon and Cortes, Corinna and Vapnik, Vladimir: On the Effective VC Dimension.. (bottou-effvc.ps.Z) (1994) (link)

Miscellaneous

M. Miller and I. Cox and J. Bloom: Informed Embedding Exploiting Image and Detector Information during Watermark Insertion. (2000) (link)

Theses

D. Grangier: Machine Learning for Information Retrieval. Ecole Polytechnique Federale de Lausanne (4088) (2008)

Y. Qi: Learning of Protein Interaction Networks. Carnegie Mellon University, School of Computer Science (Ph.D. Dissertation (also CMU Technical Report: CMU-LTI-08-006)) (2008)

Akshay Vashist: Multipartite Graph Clustering for Structured Clustering and Ortholog Extraction. Rutgers, The State University of New Jersey (Ph.D. Dissertation) (2006)

Ronan Collobert: Large Scale Machine Learning. Universit\'e Paris VI (2004)

Cosatto, E.: Sample-Based Talking-Head Synthesis. PhD Thesis, Signal Processing Lab, Swiss Federal Institute of Techology, Lausanne, Switzerland (2002) (link)

Weston, Jason: Extensions to the Support Vector Method. Royal Holloway, University of London (1999) (link)

Bottou, Léon: Une Approche théorique de l'Apprentissage Connexionniste: Applications à la Reconnaissance de la Parole. Université de Paris XI (1991) (link)