2009 | ||
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41 | Andrea Pohoreckyj Danyluk, Léon Bottou, Michael L. Littman: Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 ACM 2009 | |
40 | Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou: Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 MIT Press 2009 | |
2008 | ||
39 | Antoine Bordes, Nicolas Usunier, Léon Bottou: Sequence Labelling SVMs Trained in One Pass. ECML/PKDD (1) 2008: 146-161 | |
2007 | ||
38 | Seyda Ertekin, Jian Huang, Léon Bottou, C. Lee Giles: Learning on the border: active learning in imbalanced data classification. CIKM 2007: 127-136 | |
37 | Antoine Bordes, Léon Bottou, Patrick Gallinari, Jason Weston: Solving multiclass support vector machines with LaRank. ICML 2007: 89-96 | |
36 | Léon Bottou, Olivier Bousquet: The Tradeoffs of Large Scale Learning. NIPS 2007 | |
2006 | ||
35 | Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik: Inference with the Universum. ICML 2006: 1009-1016 | |
34 | Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou: Trading convexity for scalability. ICML 2006: 201-208 | |
33 | Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou: Large Scale Transductive SVMs. Journal of Machine Learning Research 7: 1687-1712 (2006) | |
2005 | ||
32 | Antoine Bordes, Léon Bottou: The Huller: A Simple and Efficient Online SVM. ECML 2005: 505-512 | |
31 | F. Ning, D. Delhomme, Yann LeCun, F. Piano, Léon Bottou, Paolo Emilio Barbano: Toward Automatic Phenotyping of Developing Embryos From Videos. IEEE Transactions on Image Processing 14(9): 1360-1371 (2005) | |
30 | Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou: Fast Kernel Classifiers with Online and Active Learning. Journal of Machine Learning Research 6: 1579-1619 (2005) | |
2004 | ||
29 | Yann LeCun, Fu Jie Huang, Léon Bottou: Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. CVPR (2) 2004: 97-104 | |
28 | Gökhan H. Bakir, Léon Bottou, Jason Weston: Breaking SVM Complexity with Cross-Training. NIPS 2004 | |
27 | Hans Peter Graf, Eric Cosatto, Léon Bottou, Igor Durdanovic, Vladimir Vapnik: Parallel Support Vector Machines: The Cascade SVM. NIPS 2004 | |
2003 | ||
26 | Léon Bottou: Stochastic Learning. Advanced Lectures on Machine Learning 2003: 146-168 | |
25 | Susanne Still, William Bialek, Léon Bottou: Geometric Clustering Using the Information Bottleneck Method. NIPS 2003 | |
24 | Léon Bottou, Yann LeCun: Large Scale Online Learning. NIPS 2003 | |
23 | Amy R. Reibman, Léon Bottou, Andrea Basso: Scalable video coding with managed drift. IEEE Trans. Circuits Syst. Video Techn. 13(2): 131-140 (2003) | |
2002 | ||
22 | Artem Mikheev, Luc Vincent, Michael Hawrylycz, Léon Bottou: Electronic Document Publishing Using DjVu. Document Analysis Systems 2002: 480-490 | |
2001 | ||
21 | Amy R. Reibman, Léon Bottou: Managing Drift in DCT-Based Scalable Video Coding. Data Compression Conference 2001: 351- | |
20 | Steven Pigeon, Léon Bottou: Masked Wavelets: Applications to Image Compression. Data Compression Conference 2001: 510 | |
19 | Léon Bottou, Patrick Haffner, Yann LeCun: Efficient Conversion of Digital Documents to Multilayer Raster Formats. ICDAR 2001: 444- | |
18 | Amy R. Reibman, Léon Bottou, Andrea Basso: DCT-based scalable video coding with drift. ICIP (2) 2001: 989-992 | |
2000 | ||
17 | Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik: Vicinal Risk Minimization. NIPS 2000: 416-422 | |
1999 | ||
16 | Patrick Haffner, Léon Bottou, Paul G. Howard, Yann LeCun: DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution. ICDAR 1999: 625-628 | |
15 | Patrick Haffner, Yann LeCun, Léon Bottou, Paul G. Howard, Pascal Vincent, Bill Riemers: Color Documents on the Web with DJVU. ICIP (1) 1999: 239-243 | |
14 | Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio: Object Recognition with Gradient-Based Learning. Shape, Contour and Grouping in Computer Vision 1999: 319- | |
1998 | ||
13 | Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun: Browsing through High Quality Document Images with DjVu. ADL 1998: 309-318 | |
12 | Léon Bottou, Paul G. Howard, Yoshua Bengio: The Z-Coder Adaptive Binary Coder. Data Compression Conference 1998: 13-22 | |
11 | Léon Bottou, Steven Pigeon: Lossy Compression of Partially Masked Still Images. Data Compression Conference 1998: 528 | |
10 | Patrice Simard, Léon Bottou, Patrick Haffner, Yann LeCun: Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. NIPS 1998: 571-577 | |
1997 | ||
9 | Léon Bottou, Yoshua Bengio, Yann LeCun: Global Training of Document Processing Systems Using Graph Transformer Networks. CVPR 1997: 489-494 | |
1996 | ||
8 | Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller: Effiicient BackProp. Neural Networks: Tricks of the Trade 1996: 9-50 | |
1994 | ||
7 | Léon Bottou, Yoshua Bengio: Convergence Properties of the K-Means Algorithms. NIPS 1994: 585-592 | |
1993 | ||
6 | Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, Roopak Shah: Signature Verification Using A "Siamese" Time Delay Neural Network. IJPRAI 7(4): 669-688 (1993) | |
5 | Vladimir Vapnik, Léon Bottou: Local Algorithms for Pattern Recognition and Dependencies Estimation. Neural Computation 5(6): 893-909 (1993) | |
1992 | ||
4 | Léon Bottou, Vladimir Vapnik: Local Learning Algorithms. Neural Computation 4(6): 888-900 (1992) | |
1991 | ||
3 | Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla: Structural Risk Minimization for Character Recognition. NIPS 1991: 471-479 | |
1990 | ||
2 | Léon Bottou, Patrick Gallinari: A Framework for the Cooperation of Learning Algorithms. NIPS 1990: 781-788 | |
1 | Léon Bottou, Françoise Fogelman-Soulié, P. Blanchet, Jean-Sylvain Liénard: Speaker-independent isolated digit recognition: Multilayer perceptrons vs. Dynamic time warping. Neural Networks 3(4): 453-465 (1990) |