P. Haffner

Yoshua Bengio, Yann LeCun, Patrice Y. Simard, 1998, Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-.

Color documents on the Web with DjVu

Pascal Vincent, Yann LeCun, Léon Bottou, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

DjVu: analyzing and compressing scanned documents for Internet distribution

Yann LeCun, Léon Bottou, Patrick Haffner, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Rational Kernels: Theory and Algorithms

Mehryar Mohri, Corinna Cortes, Patrick Haffner, 2004, J. Mach. Learn. Res..

Exploiting Network Structure for Proactive Spam Mitigation

Dawn Xiaodong Song, Shobha Venkataraman, Patrick Haffner, 2007, USENIX Security Symposium.

Image and video coding-emerging standards and beyond

Jörn Ostermann, Yann LeCun, Lawrence R. Rabiner, 1998, IEEE Trans. Circuits Syst. Video Technol..

NEVERMIND, the problem is already fixed: proactively detecting and troubleshooting customer DSL problems

Zhi-Li Zhang, Nick G. Duffield, Alexandre Gerber, 2010, CoNEXT.

A new probabilistic framework for connectionist time alignment

Patrick Haffner, P. Haffner, 1994, ICSLP.

Understanding the complexity of 3G UMTS network performance

Shobha Venkataraman, Zhi-Li Zhang, Nick G. Duffield, 2013, 2013 IFIP Networking Conference.

Positive Definite Rational Kernels

Mehryar Mohri, Corinna Cortes, Patrick Haffner, 2003, COLT.

s 2 . 17 INTEGRATING TIME ALIGNMENT AND NEURAL NETWORKS FOR HIGH PERFORMANCE CONTINUOUS SPEECH RECOGNITION

Waibel, P. Haffner, M. Franzini, 2004 .

Ju n 20 05 Efficient Multiclass Implementations of L 1-Regularized Maximum Entropy

Steven J. Phillips, R. Schapire, P. Haffner, 2005 .

LARGE MARGIN DISCRIMINATIVE LEARNING METHODS FOR ACOUSTIC MODELING

Kilian Q. Weinberger, L. Saul, S. Roweis, 2006 .

Image and video coding—emerging standards and beyond

Yann LeCun, M. Reha Civanlar, Joern Ostermann, 2001 .

Sequence classification for machine translation

Srinivas Bangalore, Patrick Haffner, Stephan Kanthak, 2006, Interspeech.

Marathi Handwritten Numeral Recognition using Fourier Descriptors and Normalized Chain Code

Yoshua Bengio, L. Bottou, Yann LeCun, 2017 .

A probabilistic framework for word recognition using phonetic features

Frédéric Bimbot, Patrick Haffner, Christoph Windheuser, 1994, ICSLP.

Multi-State Time Delay Neural Networks for Continuous Speech Recognition

P. Haffner, A. Waibel, 1991 .

Time-delay neural networks embedding time alignment: a performance analysis

Alexander H. Waibel, Patrick Haffner, P. Haffner, 1991, EUROSPEECH.

Connectionist speech recognition with a global MMI algorithm

Patrick Haffner, P. Haffner, 1993, EUROSPEECH.

Discriminant learning with minimum memory loss for improved non-vocabulary rejection

Patrick Haffner, Hugues Leprieur, P. Haffner, 1995, EUROSPEECH.

Connectionist segmental post-processing of the n-best solutions in isolated and connected word recognition task

Patrick Haffner, Denys Boiteau, P. Haffner, 1993, EUROSPEECH.

Learning to Adapt by Minimizing Discrepancy pdf

David Reitter, C. Lee Giles, Patrick Haffner, 2017, ArXiv.

Accelerated Parallel Optimization Methods for Large Scale Machine Learning pdf

Haipeng Luo, Jean-François Paiement, Patrick Haffner, 2014, ArXiv.

Scaling large margin classifiers for spoken language understanding

Patrick Haffner, P. Haffner, 2006, Speech Commun..

Connectionist word-level classification in speech recognition

P. Haffner, P. Haffner, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multi-State Time Delay Networks for Continuous Speech Recognition

Alexander H. Waibel, Patrick Haffner, P. Haffner, 1991, NIPS.

Rule-Based Anomaly Detection on IP Flows

Balachander Krishnamurthy, Nick G. Duffield, Patrick Haffner, 2009, IEEE INFOCOM 2009.

Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction

Srinivas Bangalore, Patrick Haffner, Stephan Kanthak, 2007, ACL.

Optimizing SVMs for complex call classification

Gökhan Tür, Patrick Haffner, Jeremy H. Wright, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

AT&T Research at TRECVID 2006

David C. Gibbon, Behzad Shahraray, Patrick Haffner, 2006, TRECVID.

Rapid connectionist speaker adaptation

Michael Witbrock, P. Haffner, P. Haffner, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Lattice kernels for spoken-dialog classification

Mehryar Mohri, Corinna Cortes, Patrick Haffner, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Integrating time alignment and neural networks for high performance continuous speech recognition

Alex Waibel, Patrick Haffner, M. Franzini, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Finite-state transducer-based statistical machine translation using joint probabilities

Srinivas Bangalore, Patrick Haffner, Stephan Kanthak, 2006, IWSLT.

ACAS: automated construction of application signatures

Patrick Haffner, Oliver Spatscheck, Subhabrata Sen, 2005, MineNet '05.

A Modular Machine Learning System for Flow-Level Traffic Classification in Large Networks

Zhi-Li Zhang, Nick G. Duffield, Jeffrey Erman, 2012, TKDD.

Semantic data mining of short utterances

David C. Gibbon, Zhu Liu, Harris Drucker, 2005, IEEE Transactions on Speech and Audio Processing.

Query Parsing and Semantic Tagging-Query Suggestion and Recommendation-Query Expansion and Intention Detection-Web Query Analysis and Mining-Semantic Annotation and Indexing-Language Modeling for Information Retrieval-Information Extraction and Summarization for Indexing and Search-Question Answerin

Dilek Z. Hakkani-Tür, Yuancheng, P. Haffner, 2010 .