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Publications: Léon BottouArticles and Conference Papers:Natural Language Processing (almost) from Scratch. Journal of Machine Learning (12) (2011) Sequence Labelling SVMs Trained in One Pass. Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008 Daelemans, Walter and Goethals, Bart and Morik, Katharina (editors) (2008) (link) The Tradeoffs of Large Scale Learning. Advances in Neural Information Processing Systems J.C. Platt and D. Koller and Y. Singer and S. Roweis (editors) () (2008) (link) Learning Using Large Datasets. Mining Massive DataSets for Security (2008) (link) Support Vector Machine Solvers. Large Scale Kernel Machines Bottou, Léon and Chapelle, Olivier and DeCost (editors) (2007) (link) Training Invariant Support Vector Machines using Selective Sampling. Large Scale Kernel Machines Bottou, Léon and Chapelle, Olivier and DeCost (editors) (2007) (link) The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research (8) (2007) (link) Trading Convexity for Scalability. Large Scale Kernel Machines Bottou, Léon and Chapelle, Olivier and DeCost (editors) (2007) (link) Learning on the Border: Active Learning in Imbalanced Data Classification. Proceedings of the 16th Conference on Information and Knowledge Management, CIKM2007 (2007) (link) Solving MultiClass Support Vector Machines with LaRank. Proceedings of the 24th International Machine Learning Conference Zoubin Ghahramani (editor) (2007) (link) Trading Convexity for Scalability. Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006) (2006) (link) Large Scale Transductive SVMs. Journal of Machine Learning Research (7) (2006) (link) Inference with the Universum. Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006) (2006) (link) The Huller: a simple and efficient online SVM. Machine Learning: ECML 2005 (2005) (link) Toward Automatic Phenotyping of Developing Embryos from Videos. IEEE Transactions in Image Processing 14(9) (2005) (link) Online (and Offline) on an Even Tighter Budget. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, January 2005, Barbados Cowell, Robert G. and Ghahramani, Zoubin (editors) (2005) (link) Graph Transformer Networks for Image Recognition. Bulletin of the International Statistical Institute (ISI) (2005) (link) On-line Learning for Very Large Datasets. Applied Stochastic Models in Business and Industry 21(2) (2005) (link) Fast Kernel Classifiers with Online and Active Learning. Journal of Machine Learning Research (6) (2005) (link) Parallel Support Vector Machines: The Cascade SVM. Advances in Neural Information Processing Systems Saul, Lawrence and Weiss, Yair and Bottou, Léon (editors) (17) (2005) (link) Breaking SVM Complexity with Cross-Training. Advances in Neural Information Processing Systems Saul, Lawrence and Weiss, Yair and Bottou, Léon (editors) (17) (2005) (link) Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. Proc. of Computer Vision and Pattern Recognition (2004) (link) Large Scale Online Learning. Advances in Neural Information Processing Systems 16 Thrun, Sebastian and Saul, Lawrence and Bernhard Schölkopf (editors) (2004) (link) Geometric Clustering Using the Information Bottleneck Method. Advances in Neural Information Processing Systems 16 Thrun, Sebastian and Saul, Lawrence and Bernhard Schölkopf (editors) (2004) (link) Stochastic Learning. Advanced Lectures on Machine Learning Bousquet, Olivier and von Luxburg, Ulrike (editors) (LNAI 3176) (2004) (link) Scalable video coding with managed drift. IEEE Transaction on Circuits and Systems for Video Technology (13) (2003) (link) 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) Electronic Document Publishing using DjVu. Proceedings of the IAPR International Workshop on Document Analysis (DAS'02) (2002) (link) A General Segmentation Scheme for DjVu Document Compression. Proceedings of the International Symposium on Mathematical Morphology (ISMM'02) (2002) (link) Stochastic Approximations and Efficient Learning. The Handbook of Brain Theory and Neural Networks, Second edition, Arbib, M. A. (editor) (2002) (link) Conversion of Digital Documents to Multilayer Raster Formats. Proceedings of the Sixth International Conference on Document Analysis and Recognition (2001) (link) DjVu document browsing with on-demand loading and rendering of image components. Internet Imaging (2001) (link) DCT-based scalable video coding with drift. Proceedings of International Conference on Image Processing 2001 (2001) (link) Managing drift in DCT-based scalable video coding. Proceedings IEEE Data Compression Conference 2001 (2001) (link) Overview of the DjVu Document Compression Technology. Proceedings of the Symposium on Document Image Understanding Technologies (SDIUT'01) (2001) (link) Vicinal Risk Minimization. Advances in Neural Information Processing Systems (13) (2000) (link) DjVu: Un Système de Compression d'Images pour la Distribution Réticulaire de Documents Numérisés. Actes de la Conf\'{e}rence Internationale Francophone sur l'Ecrit et le Document (2000) (link) Color Documents on the Web with DjVu. Proceedings of the International Conference on Image Processing (1) (1999) (link) Boxlets: a fast convolution algorithm for neural networks and signal processing. Advances in Neural Information Processing Systems (11) (1999) (link) DjVu : Analyzing and Compressing Scanned Documents for Internet Distribution.. Proceedings of the International Conference on Document Analysis and Recognition. (1999) (link) Object Recognition with Gradient-Based Learning. Feature Grouping Forsyth, David (editor) (1999) (link) Image and video coding - Emerging standards and beyond. IEEE Transaction on Circuits and Systems for Video Technology 8(7) (1998) (link) High Quality Document Image Compression with DjVu. Journal of Electronic Imaging 7(3) (1998) (link) Gradient Based Learning Applied to Document Recognition. Proceedings of IEEE 86(11) (1998) (link) The Z-Coder Adaptive Binary Coder. Proceedings IEEE Data Compression Conference 1998 (1998) (link) Efficient Backprop. Neural Networks, Tricks of the Trade (1998) (link) Browsing through High Quality Document Images with DjVu. Proceedings of IEEE Advances in Digital Libraries'98 (1998) (link) Online Algorithms and Stochastic Approximations. Online Learning and Neural Networks Saad, David (editor) (1998) (link) DjVu: a compression method for distributing scanned documents in color over the internet. Sixth Color Imaging Conference: Color Science, Systems and Applications (1998) (link) Lossy Compression of Partially Masked Still Images. Proceedings of IEEE Data Compression Conference (1998) (link) Global Training of Document Processing Systems using Graph Transformer Networks. Proc. of Computer Vision and Pattern Recognition (1997) (link) La mise en oeuvre des idées de V. N. Vapnik. Statistique et m\'{e}thodes neuronales (1997) (link) Reading Checks with graph transformer networks. International Conference on Acoustics, Speech, and Signal Processing (1) (1997) (link) Learning Algorithms For Classification: A Comparison On Handwritten Digit Recognition. Neural Networks: The Statistical Mechanics Perspective Oh, J. H. and Kwon, C. and Cho, S. (editors) (1995) (link) 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. (2) (1994) (link) Signature Verification using a Siamese Time Delay Neural Network. International Journal of Pattern Recognition and Artificial Intelligence (7(4)) (1993) (link) Local Algorithms for Pattern Recognition and Dependencies Estimation. Neural Computation (5(6)) (1993) (link) Local Learning Algorithms. Neural Computation (4(6)) (1992) (link) Structural Risk Minimization for Character Recognition. Advances in Neural Information Processing Systems (4) (1992) (link) 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 (II) (1992) (link) A unified formalism for neural net training algorithms. Proceedings of the International Joint Conference on Neural Networks (4) (1992) (link) 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 (II) (1992) (link) A Framework for the Cooperation of Learning Algorithms. Advances in Neural Information Processing Systems Touretzky, D. and Lippmann, R. (editors) (3) (1991) (link) Comparison and Cooperation of Several Classifiers. Proceedings of the International Conference on Artificial Neural Networks (1991) (link) Learning Vector Quantization, Multi Layer Perceptron and Dynamic Time Warping: Comparison and Cooperation. Proceedings of the International Joint Conference on Neural Networks (1991) (link) Stochastic Gradient Learning in Neural Networks. Proceedings of Neuro-Nimes 91 (1991) (link) Galatea: A library for connectionist applications. Proceedings of the International Neural Networks Conference, INNC'90 (1) (1990) (link) Speaker independent isolated digit recognition: Multilayer perceptron vs Dynamic Time Warping. Neural Networks (3) (1990) (link) TDNN-Extracted features. Proceedings of Neuro Nimes 90 (1990) (link) Comparison of neural and conventional classifiers on a speech recognition problem. Proceedings of IEE 1st International Conference on Artificial Neural Networks (1989) (link) Experiments with Time Delay Networks and Dynamic Time Warping for Speaker Independent Isolated Digit Recognition. Proceedings of EuroSpeech 89 (2) (1989) (link) SN: A Simulator for Connectionist Models. Proceedings of NeuroNimes 88 (1988) (link) Reconnaissance de la parole par reseaux connexionnistes. Proceedings of Neuro Nimes 88 (1988) (link) Tech Reports:Report: Predicting Learning Curves without the Ground Truth Hypothesis. (1999) (link) Support Vector Machine Reference Manual. University of London (CSD-TR-98-03) (1998) (link) On the Effective VC Dimension.. (bottou-effvc.ps.Z) (1994) (link) Theses:Une Approche théorique de l'Apprentissage Connexionniste: Applications à la Reconnaissance de la Parole. Universit\'{e} de Paris XI (1991) (link) Click here to see a list of publications from all staff and alumni. |
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