[1] Lee Begeja, Harris Drucker, David Gibbon, Patrick Haffner, Zhu Liu, Bernard Renger, and Behzad Shahraray. Semantic Data Mining of Short Utterances. In Proceedings of ICASSP'05, Philadelphia, PA, March 2005.
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[2] M. Levit, P. Haffner, A. Gorin, H. Alshawi, and E.Noth. Aspects of Named Entity Processing. In Proceedings INTERSPEECH'04 - 8th International Conference on Spoken Language Processing, Jeju Island, Korea, October 2004.
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[3] Corinna Cortes, Patrick Haffner, and Mehryar Mohri. Rational Kernels: Theory and Algorithms. Journal of Machine Learning Research, 5:1035-1062, August 2004.
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[4] Corinna Cortes, Patrick Haffner, and Mehryar Mohri. Positive Definite Rational Kernels. In Proceedings of COLT'03, volume 2777 of Lecture Notes in Computer Science, pages 41-56, Washington D.C., August 2003. Springer, Heidelberg, Germany.
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[5] Corinna Cortes, Patrick Haffner, and Mehryar Mohri. Lattice Kernels for Spoken-Dialog Classification. In Proceedings of ICASSP'03, 2003.
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[6] Patrick Haffner, Gokhan Tur, and Jerry Wright. Optimizing SVMs for complex Call Classification. In Proceedings of ICASSP'03, 2003.
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[7] Corinna Cortes, Patrick Haffner, and Mehryar Mohri. Rational Kernels. In Advances in Neural Information Processing Systems (NIPS'02), Vancouver, Canada, December 2002.
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[8] Gokhan Tur, Patrick Haffner, Jerry Wright, Allen Gorin, and Dilek Hakkani-Tür Giuseppe Riccardi. Exploiting FSM and LLAMA Libraries for Spoken Language Understanding. In Proceedings of AT&T Speech Days, a Symposium on Speech and Information Processing with the twin themes of Speech Data Mining and Speech Research Software Libraries., Florham Park, NJ, October 2002.
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[9] Patrick Haffner, Léon Bottou, Yann LeCun, and Luc Vincent. A General Segmentation Scheme for DjVu Document Compression. In ISMM'02, April 2002.
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[10] Patrick Haffner. Escaping the Convex Hull with Extrapolated Vector Machines. In Advances in Neural Information Processing Systems (NIPS'01), December 2001.
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[11] L. Bottou, P. Haffner, and Y. LeCun. Conversion of Digital Documents to Multilayer Raster Formats. In Proceedings of the International Conference on Document Analysis and Recognition, September 2001.
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[12] Y. LeCun, L. Bottou, A. Erofeev, P. Haffner, and W. Riemers. DjVu document browsing with on-demand loading and rendering of image components. In Internet Imaging, January 2001.
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[13] P. Haffner, O. Bousquet, and V. Vapnik. Incremental Convex Hull Distance Minimization: Experiments and Perspectives. In Unpublished slides presented at the NIPS'00 workshop, December 2000.
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[14] L. Bottou, P. Haffner, Y. LeCun, , P. Howard, and P. Vincent. DjVu: Un Systeme de Compression d'Images pour la Distribution Reticulaire de Documents Numerises. In Actes de la Conference Internationale Francophone sur l'Ecrit et le Document, July 2000.
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[15] O. Chapelle, P. Haffner, and V. Vapnik. SVMs for Histogram-Based Image Classification. IEEE Transaction Neural Networks, 1999.
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[16] P. Haffner, Y. LeCun, L. Bottou, P. Howard, P. Vincent, and B. Riemers. Color Documents on the Web with DjVu. In Proc. of ICIP-99, 1999.
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[17] P. Haffner, L. Bottou, P. Howard, and Y. LeCun. Djvu: Analyzing and compressing scanned documents for internet distribution. In Proc. of ICDAR'99, 1999.
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[18] B. Haskell, P. Howard, Y. LeCun, A. Puri, J. Ostermann, R. Civanlar, L. Rabiner, L. Bottou, and P. Haffner. Image and video coding - emerging standards and beyond. IEEE Transaction CSVT, 1999.
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[19] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-Based Learning Applied to Document Recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998.
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[20] L. Bottou, P. Haffner, P. Howard, P. Simard, Y. Bengio, and Y. LeCun. High Quality Document Image Compression with DjVu. Journal of Electronic Imaging, 1998.
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[21] P. Haffner, L. Bottou, P. Howard, P. Simard, Y. Bengio, and Y. LeCun. Browsing through High Quality Document Images with DjVu. In Proc. of Advances in Digital Libraries 98. IEEE, 1998.
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[22] Y. LeCun, L. Bottou, P. Haffner, and P. Howard. DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet. In 1998 IS& T/ SID Color Imaging Conference. IS& T, 1998.
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[23] P. Simard, L. Bottou, P. Haffner, and Y. LeCun. Boxlets: a Fast Convolution Algorithm for Signal Processing and Neural Networks. In Advances in Neural Information Processing Systems 11 (NIPS 1998). MIT press, 1998.
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[24] H. Leprieur and P. Haffner. Discriminant learning with Minimum Memory Loss for improved non vocabulary rejection. In EUROSPEECH'95, 4th European Conference on Speech Communication and Technology, Madrid, Spain, September 1995.
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[25] P. Haffner. A new probabilistic framework for connectionist time alignment. In 1994 International Conference on Spoken Language Processing, pages 1559-1562, Yokohama, 1994.
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[26] P. Haffner. Alpha-Beta TDNN Implement ``Fuzzy'' Connectionist Time Alignment in Speech Recognition. In Proc. of the Int. Conference on Artificial Neural Networks, Amsterdam, the Netherlands, September 1993. Springer Verlag.
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[27] P. Haffner. Connectionist speech Recognition with a Global MMI Algorithm. In EUROSPEECH'93, 3rd European Conference on Speech Communication and Technology, Berlin, Germany, September 1993.
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[28] P. Haffner. Connectionist Word-Level Classification in Speech Recognition. In Proceedings of ICASSP'92, San Francisco, 1992.
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[29] P. Haffner and A.H Waibel. Multi-State Time-Delay Neural Networks for Continuous speech Recognition. In Advances in Neural Information Processing Systems (NIPS'92), volume 4, pages 579-588. Morgan Kaufmann, San Mateo, 1992.
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[30] M. Witbrock and P. Haffner. Rapid Connectionist Speaker Adaptation. In Proceedings of ICASSP'92, San Francisco, 1992.
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[31] P. Haffner and A.H Waibel. Time-Delay Neural Networks Embedding Time Alignment: a Performance Analysis. In EUROSPEECH'91, 2nd European Conference on Speech Communication and Technology, Genova, Italy, September 1991.
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[32] P. Haffner, M.A. Franzini, and A.H. Waibel. Integrating Time Alignment and Neural Networks for High Performance Continuous Speech Recognition. In Proceedings of ICASSP'91, pages 105-108, Toronto, 1991.
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[33] P. Haffner, A.H. Waibel, H. Sawai, and K. Shikano. Fast Back-Propagation Learning Methods for Large Phonemic Neural Networks. In EUROSPEECH'89, 1st European Conference on Speech Communication and Technology, Paris, France, September 1989.
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[34] H. Sawai, A. Waibel, P. Haffner, M. Miyatake, and K. Shikano. Parallelism, Hierarchy, Scaling in Time-Delay Neural Networks for Spotting Japanese Phonemes/CV-Syllables. In Proceedings of the International Joint Conference on Neural Networks, volume 2, pages 81-88, Washington D.C., 1989. IEEE, New York.
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[35] P Haffner. Dynet, A fast neural network simulator. Technical report, ATR Interpreting Telephony Research Laboratories, 1988.
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