| [1] |
Srinivas Bangalore, Patrick Haffner, and Stephan Kanthak.
Sequence classification for machine translation.
In INTERSPEECH, 2006. [ bib ] |
| [2] |
Robert M. Bell, Patrick Haffner, and Chris Volinsky.
Modifying boosted trees to improve performance on task 1 of the 2006
kdd challenge cup.
SIGKDD Explorations, 8(2):47-52, 2006. [ bib | .pdf ] |
| [3] |
Ilija Zeljkovic, Patrick Haffner, Brian Amento, and Jay G. Wilpon.
Gmm/svm n-best speaker identification under mismatch channel
conditions.
In ICASSP, pages 4129-4132, 2008. [ bib ] |
| [4] |
Patrick Haffner, Subhabrata Sen, Oliver Spatscheck, and Dongmei Wang.
Acas: automated construction of application signatures.
In MineNet, pages 197-202, 2005. [ bib | .pdf ] |
| [5] |
Patrick Haffner.
Fast transpose methods for kernel learning on sparse data.
In ICML, pages 385-392, 2006. [ bib | .pdf ] |
| [6] |
Junlan Feng, Patrick Haffner, and Mazin Gilbert.
A learning approach to discovering web page semantic structures.
In ICDAR, pages 1055-1059, 2005. [ bib ] |
| [7] |
Patrick Haffner, Steven J. Phillips, and Robert E. Schapire.
Efficient multiclass implementations of l1-regularized maximum
entropy.
CoRR, abs/cs/0506101, 2005. [ bib | .pdf ] |
| [8] |
Yu Jin, Nick G. Duffield, Patrick Haffner, Subhabrata Sen, and Zhi-Li Zhang.
Inferring applications at the network layer using collective traffic
statistics.
In SIGMETRICS, pages 351-352, 2010. [ bib | .pdf ] |
| [9] |
Yu Jin, Nick G. Duffield, Alexandre Gerber, Patrick Haffner, Subhabrata Sen,
and Zhi-Li Zhang.
Nevermind, the problem is already fixed: proactively detecting and
troubleshooting customer dsl problems.
In CoNEXT, page 7, 2010. [ bib | .pdf ] |
| [10] |
Yu Jin, Nick Duffield, Patrick Haffner, Subhabrata Sen, and Zhi-Li Zhang.
Inferring applications at the network layer using collective traffic
statistics.
pages 1-8, 2010. [ bib | .pdf ] |
| [11] |
Nick G. Duffield, Patrick Haffner, Balachander Krishnamurthy, and Haakon
Ringberg.
Rule-based anomaly detection on ip flows.
In INFOCOM, pages 424-432, 2009. [ bib | .pdf ] |
| [12] |
Srinivas Bangalore, Patrick Haffner, and Stephan Kanthak.
Statistical machine translation through global lexical selection and
sentence reconstruction.
In Proceedings of the 45th Annual Meeting of the Association of
Computational Linguistics, pages 152-159, Prague, Czech Republic, June
2007. Association for Computational Linguistics. [ bib | http | .pdf ] |
| [13] |
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. [ bib ] |
| [14] |
Patrick Haffner.
Scaling large margin classifiers for spoken language understanding.
2005. [ bib | .pdf ] |
| [15] |
Corinna Cortes, Patrick Haffner, and Mehryar Mohri.
Rational Kernels: Theory and Algorithms.
Journal of Machine Learning Research, 5:1035-1062, August
2004. [ bib | .ps.gz | .pdf ] |
| [16] |
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. [ bib | .ps.gz | .pdf ] |
| [17] |
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. [ bib | .ps.gz | .pdf ] |
| [18] |
Corinna Cortes, Patrick Haffner, and Mehryar Mohri.
Lattice Kernels for Spoken-Dialog Classification.
In Proceedings of ICASSP'03, 2003. [ bib | .ps.gz | .pdf ] |
| [19] |
Patrick Haffner, Gokhan Tur, and Jerry Wright.
Optimizing SVMs for complex Call Classification.
In Proceedings of ICASSP'03, 2003. [ bib | .ps.gz | .pdf ] |
| [20] |
Corinna Cortes, Patrick Haffner, and Mehryar Mohri.
Rational Kernels.
In Advances in Neural Information Processing Systems (NIPS'02),
Vancouver, Canada, December 2002. [ bib | .ps.gz | .pdf ] |
| [21] |
Patrick Haffner, Léon Bottou, Yann LeCun, and Luc Vincent.
A General Segmentation Scheme for DjVu Document Compression.
In ISMM'02, April 2002. [ bib | .ps.gz | .pdf ] |
| [22] |
Patrick Haffner.
Escaping the Convex Hull with Extrapolated Vector Machines.
In Advances in Neural Information Processing Systems (NIPS'01),
December 2001. [ bib | .ps.gz | .pdf ] |
| [23] |
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. [ bib | .ps.gz | .pdf ] |
| [24] |
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. [ bib | .ps.gz | .pdf ] |
| [25] |
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. [ bib | .ps.gz ] |
| [26] |
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. [ bib | .ps.gz | .pdf ] |
| [27] |
O. Chapelle, P. Haffner, and V. Vapnik.
SVMs for Histogram-Based Image Classification.
IEEE Transaction Neural Networks, 1999. [ bib | .ps.gz | .pdf ] |
| [28] |
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. [ bib | .ps.gz | .pdf ] |
| [29] |
P. Haffner, L. Bottou, P. Howard, and Y. LeCun.
Djvu: Analyzing and compressing scanned documents for internet
distribution.
In Proc. of ICDAR'99, 1999. [ bib | .ps.gz | .pdf ] |
| [30] |
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. [ bib ] |
| [31] |
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. [ bib | .ps.gz | .pdf ] |
| [32] |
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. [ bib | .ps.gz | .pdf ] |
| [33] |
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. [ bib | .ps.gz | .pdf ] |
| [34] |
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. [ bib | .ps.gz | .pdf ] |
| [35] |
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. [ bib | .ps.gz | .pdf ] |
| [36] |
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. [ bib ] |
| [37] |
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. [ bib ] |
| [38] |
P. Haffner.
Connectionist Word-Level Classification in Speech Recognition.
In Proceedings of ICASSP'92, San Francisco, 1992. [ bib ] |
| [39] |
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. [ bib ] |
| [40] |
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. [ bib ] |
| [41] |
M. Witbrock and P. Haffner.
Rapid Connectionist Speaker Adaptation.
In Proceedings of ICASSP'92, San Francisco, 1992. [ bib ] |
| [42] |
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. [ bib ] |
| [43] |
P Haffner.
Dynet, A fast neural network simulator.
Technical report, ATR Interpreting Telephony Research Laboratories,
1988. [ bib ] |
| [44] |
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. [ bib | http ] |
| [45] |
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. [ bib ] |
| [46] |
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. [ bib ] |
| [47] |
P. Haffner.
A new probabilistic framework for connectionist time alignment.
In 1994 International Conference on Spoken Language Processing,
pages 1559-1562, Yokohama, 1994. [ bib ] |
| [48] |
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. [ bib ] |
This file has been generated by bibtex2html 1.74