Publications, cited in reverse chronological order. Last updated 6/24/2007.
Click on the title to download a PostScript copy, or on '(pdf)' to download pdf copy (when available).

1. Michael Shilman, Desney Tan, and Patrice Simard, CueTIP: A Mixed-Initiative Interface for Correcting Handwriting Errors, User Interface Software and Technology (UIST), pp. 323-332, 2006.
2. Kumar Chellapilla and Patrice Simard, A New Radical Based Approach to Offline Handwritten East-Asian Character Recognition, International Workshop on Frontiers in Handwriting Recognition (IWFHR), 2006.
3. Kumar Chellapilla, Patrice Simard, and Ahmad Abdulkader, Allograph Based Writer adaptation for Handwritten Character Recognition, International Workshop on Frontiers in Handwriting Recognition (IWFHR), 2006.
4. Kumar Chellapilla, Sidd Puri, and Patrice Simard, High Performance Convolutional Neural Networks for Document Processing, International Workshop on Frontiers in Handwriting Recognition (IWFHR), 2006.
5. Kumar Chellapilla, Michael Shilman, and Patrice Simard, Optimally Combining a Cascade of Classifiers, SPIE Document Recognition and Retrieval Conference, 2006.
6. Kumar Chellapilla, Michael Shilman, Patrice Simard: Combining Multiple Classifiers for Faster Optical Character Recognition, Document Analysis Systems, pp. 358-367, 2006
7. Kumar Chellapilla, Kevin. Larson, Patrice Simard, Mary Czerwinski, Designing Human Friendly Human Interaction Proofs (HIPS),  Conference on Human Factors in Computing (CHI), pp. 711-720, 2005.
8. Kumar Chellapilla, Kevin. Larson, Patrice Simard, Mary Czerwinski, Computers beat humans at single character recognition in reading-based Human Interaction Proofs (HIPs), 2nd Conference on Email and Anti-Spam (CEAS) 2005.
9. Kumar. Chellapilla, K. Larson, P. Simard, and M. Czerwinski, Building Segmentation Based Human-friendly Human Interaction Proofs (HIPs), Second International Workshop on Human Interaction Proofs HIP’2005, Springer-Verlag, pp 1-26, 2005.
10. Kumar Chellapilla, Patrice Simard, Radoslav Nickolov, Fast Optical Character Recognition through Glyph Hashing for Document Conversion, International Conference on Document Analysis and Recognition (ICDAR), IEEE Computer Society, pp. 829-834, 2005.
11. Patrice Simard, Dave Steinkraus, Maneesh Agrawala, Ink Normalization and Beautification, International Conference on Document Analysis and Recognition (ICDAR), IEEE Computer Society, pp. 1182-1187, 2005.
12. Dave Steinkraus, Patrice Y. Simard, Ian Buck, Using GPUs for Machine Learning Algorithms, International Conference on Document Analysis and Recognition (ICDAR), IEEE Computer Society, pp. 1115-1119, 2005.
13. Charles E. Jacobs, Patrice Y. Simard, Paul A. Viola, James Rinker: Text Recognition of Low-resolution Document Images, International Conference on Document Analysis and Recognition (ICDAR), IEEE Computer Society, pp. 695-699, 2005.
14. David Bargeron, Patrice Simard, Paul Viola, Boosting-based Transductive Learning for Text Detection, International Conference on Document Analysis and Recognition (ICDAR), IEEE Computer Society, pp. 1166-1171, 2005
15. Kumar Chellapilla, Patrice Simard, Using Machine Learning to Break Visual Human Interaction Proofs (HIPS), Neural Information Processing Systems 17 (NIPS),  MIT Press, pp. 265-272, 2004
16. Patrice Y. Simard and Henrique Malvar, An Efficient Binary Image Activity Detector Based on Connected Components,  International Conference on Accoustic, Speech and Signal Processing (ICASSP), Montreal, vol 3, pp. 229-232, 2004.
17. Patrice Y. Simard, Henrique H. Malvar, James Rinker, Erin Renshaw, A Foreground/Background Separation Algorithm for Image Compression (pdf), Data Compression Conference (DCC), IEEE Computer Society, Los Alamitos, pp. 498-507, 2004.
18. Dinei A. F. Floręncio, Patrice Simard, Can the sample being transmitted be used to refine its own PDF estimate? (pdf), Data Compression Conference (DCC), IEEE Computer Society, Los Alamitos, pp. 233-242, 2003.
19.  Patrice Y. Simard, Dave Steinkraus, John Platt, Best Practice for Convolutional Neural Networks Applied to Visual Document Analysis (pdf)  International Conference on Document Analysis and Recogntion (ICDAR), IEEE Computer Society, Los Alamitos, pp. 958-962, 2003.
20.  Patrice Y. Simard, Richard Szeliski, Josh Benaloh, Julien Couvreur, and Iulian Calinov, Using Character Recognition and Segmentation to Tell Computers from Humans (pdf), International Conference on Document Analysis and Recogntion (ICDAR), IEEE Computer Society, Los Alamitos, pp. 418-423, 2003.
21. Michael Shilman, Zile Wei, Sashi Raghupathy, Patrice Simard, David Jones, Discerning Structure from Freeform Handwritten Notes (pdf), International Conference on Document Analysis and Recogntion (ICDAR), IEEE Computer Society, Los Alamitos, pp 60-65, 2003.
22.  Patrice Y. Simard, Christopher J.C. Burges, David Steinkraus, Henrique Malvar, Image Compression with On-Line and Off-Line Learning (pdf), International Conference on Image Processing (ICIP),  2003.
23. Patrice Y. Simard, David Steinkraus, and Henrique S. Malvar, On-Line Adaptation in Image Coding with a 2-D Tarp Filter (pdf).  Data Compression Conference (DCC), IEEE Computer Society, Los Alamitos, pp. 23-32, 2002.
24. Patrice Y. Simard, Yann A. LeCun, John S. Denker, and Bernard Victorri, Transformation Invariance in Pattern Recognition-- Tangent Distance and Tangent Propagation.   International Journal of Imaging System and Technology, Volume 11, Issue 3, pp. 181-194,  2001.
25. Patrice Y. Simard and Henrique S. Malvar, A Wavelet Coder for Masked Images (pdf),  Data Compression Conference (DCC) , IEEE Computer Society, Los Alamitos, pp. 93-102, 2001.
26. Nebojsa Jojic, Patrice Simard, Brendan Frey, and David Heckerman, Estimating smooth deformation models of substance and noise, Eighth International Workshop on Artificial Intelligence and Statistics, 2001, Key West, FL.
27. Nebojsa Jojic, Patrice Simard, Brendan Frey, David Heckerman, Separating Appearance from Deformation, International Conference on Computer Vision, vol 2, pp. 288-294, 2001.
28. Patrice Y. Simard, Léon Bottou, Patrick Haffner, Yann Le Cun,  Boxlets: a Fast Convolution Algorithm for Signal Processing and Neural Networks (pdf), In Advances in Neural Information Processing Systems, Kearns, M., Solla, S., Cohn, D. (Eds.), vol. 11, MIT Press, pp. 571-577, 1999.
29. Patrice Y. Simard, Yann A. Le Cun, John S. Denker, Bernard Victorri,  Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation (pdf), In Neural Networks: Tricks of the Trade, G. B. Orr and K-R Muller (Eds), Chapter 12, Springer, 1998.
30. L. Bottou, P. Haffner, P. Howard, P. Simard, Y. Bengio, and Y. LeCun. High quality document image compression with djvu (pdf) , Journal of Electronic Imaging, 1998.
31. Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Simard, Yoshua Bengio, and Yann Le Cun, Browsing through High Quality Document Images with DjVu (pdf) ,  In Proceedings of IEEE Advances in Digital Libraries'98,
32. Bernhard Schoelkopf, Patrice Y. Simard, Alex Smola and Vladimir Vapnik, Prior Knowledge in Support Vector Kernels (pdf) , Neural Information Processing Systems Conference . MIT Press, 1998.
33. Trevor Hastie and Patrice Y. Simard, Models and Metrics for Handwritten Character Recognition (pdf) , Statistical Science, 13(1), 1997.
34. Jocelyn Cloutier, Eric Cosatto, Steven Pigeon, Francis Boyer and Patrice Y. Simard, VIP: An FPGA-based Processor for Image Processing and Neural Networks (pdf), Fifth International Conference on Microelectronics for Neural Networks and Fuzzy Systems (MicroNeuro'96), IEEE, Lausanne, Switzerland, pp 330-336, 1996
35. Y. LeCun, L. D. Jackel, L. Bottou, A. Brunot, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, U. A. Muller, E. Sackinger, P. Simard, and V. Vapnik, Comparison of learning algorithms for handwritten digit recognition (pdf) , In F. Fogelman and P. Gallinari, editors, International Conference on Artificial Neural Networks, pages 53-60, Paris, 1995. EC2 & Cie
36. Yann Le Cun, Larry Jackel, Leon Bottou, Corinna Cortes, John Denker, Harris Drucker, Isabelle Guyon, Urs Müller, Eduard Säckinger, Patrice Y. Simard and Vladimir Vapnik, Learning Algorithms For Classification: A Comparison On Handwritten Digit Recognition (pdf), Neural Networks: The Statistical Mechanics Perspective , editor Oh, J. H. and Kwon, C. and Cho, S., pp 261-276, World Scientific, 1995
37. Trevor Hastie, Patrice Simard, and Eduard Sackinger,  Learning Prototype Models for Tangent Distance (pdf) , In Advances in Neural Information Processing Systems, Tesauro, G., Touretzky, D., Leen, T. (Eds.), vol. 7, MIT Press, pp. 999-1006, 1995.
38. Yoshua Bengio, Patrice Simard and Paolo Frasconi, Learning Long-Term Dependencies with Gradient Descent is Difficult (pdf) , IEEE transaction on Neural network , Special issue on Recurrent Neural Network. Vol 5, No 2, pp 157-166, 1994.
39. Jocelyn Cloutier and Patrice Y. Simard, Hardware Implementation of the Backpropagation Without Multiplication, Microelectronics for Neural Networks and Fuzzy Systems, pp 46-55, 1994.
40.  Bottou, L.; Cortes, C.; Denker, J.S.; Drucker, H.; Guyon, I.; Jackel, L.D.; LeCun, Y.; Muller, U.A.; Sackinger, E.; Simard, P.; Vapnik, V., Comparison of classifier methods: a case study in handwritten digit recognition, Proceedings of the 12th IAPR International. Conference on Computer Vision & Image Processing.,  Volume: 2, pp 77-82, 1994.
41. Simard, P.Y.; Yann Le Cun; Denker, J.S., Memory-based character recognition using a transformation invariant metric, Proceedings of the 12th IAPR International. Conference on Computer Vision & Image Processing.,  Volume: 2, pp 263-267, 1994.
42. James L. Ringo, Robert W. Doty, Steven Demeter and Patrice Y. Simard, Time is of the essence: A conjecture that hemispheric specialization arises from interhemispheric conduction delay , Cerebral Cortex (feature article), Vol 4, pp 331-343, 1994.
43. Patrice Y. Simard and Hans Peter Graf Backpropagation without Multiplication, Advances in Neural Information Processing Systems, Cowan, J., Tesauro, G., Alspector, J. (Ed.), vol. 6, Morgan Kaufmann Publishers, San Fransisco, CA, pp. 232-239, 1994.
44. Patrice Y. Simard Efficient Computation of Complex Metrics Using Hierarchical Filtering, Advances in Neural Information Processing Systems, Cowan, J., Tesauro, G., Alspector, J. (Ed.), vol. 6, Morgan Kaufmann Publishers, San Fransisco, CA, pp. 168-175, 1994.
45. Bengio, Y.; Frasconi, P.; Simard, P., The problem of learning long-term dependencies in recurrent networks, IEEE International Conference on Neural Networks, vol. 3, pp. 1183-1188, 1993
46. Yann A. LeCun, Patrice Y. Simard, and Barak Pearlmutter, Automatic learning rate maximization by on-line estimation of the Hessian's eigenvectors, (pdf), Advances in Neural Information Processing Systems, Hanson, S., Cowan, J. and Giles, L. (Ed.), vol. 5, Morgan Kaufmann Publishers, San Mateo, CA, 1993.
47. Patrice Y. Simard, Yann A. LeCun and John S. Denker, Efficient pattern recognition using a new transformation distance, Advances in Neural Information Processing Systems, Hanson, S., Cowan, J. and Giles, L. (Ed.), vol. 5, Morgan Kaufmann, 1993.
48. Harris Drucker, Rob Schapire and Patrice Y. Simard, Boosting performance in Neural Networks , International Journal or Pattern Recognition and Artificial Intelligence, Vol.7 No. 4, pp 705-719, 1993.
49. Patrice Y. Simard and Yann A. LeCun, Reverse TDNN: an architecture for trajectory generation (pdf), Advances in Neural Information Processing Systems 4 (NIPS '91), Moody, J. M., Hanson, S. J. and Lippman, R. P. (Ed.), Morgan Kaufman, Denver, CO, 1992.
50. Simard, P.; Le Cun, Y.; Denker, J.; Victorri, B., An efficient algorithm for learning invariance in adaptive classifiers, Pattern Recognition Methodology and Systems, Vol. 2, pp. 651-655, 1992.
51. Patrice Y. Simard, Bernard Victorri, Yann Le Cun and John Denker Tangent Prop: A formalism for specifying selected invariances in adaptive networks, Advances in Neural Information Processing Systems 4 (NIPS '91), Moody, J. M., Hanson, S. J. and Lippman, R. P. (Ed.), Morgan Kaufman, Denver, CO, 1992.
52. Patrice Y. Simard,  Learning State Space Dynamics in Recurrent Networks Ph.D. Thesis, Computer Science, Technical Report 383, University of Rochester, 1991.
53. Patrice Y. Simard and Guy E. Mailloux, Vector field restoration by the method of convex projections (pdf), Computer Vision, Graphic, and Image Processing , Vol. 52, pp 360-385, 1990.
54. Mailloux, G.E.; Langlois, F.; Simard, P.Y.; Bertrand, M., Restoration of the velocity field of the heart from two-dimensional echocardiograms, IEEE Transactions on Medical Imaging, pp. 143-153, 1989.
55. Patrice Y. Simard and Guy E. Mailloux, A projection operator for the restoration of divergence free vector field, IEEE, Pattern Analysis and Machine Intelligence, Vol. 10, No 2, pp 248-256, 1988.