Patrick Haffner

According to our database, Patrick Haffner authored at least 62 papers between 1989 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Annorama: Enabling Immersive At-Desk Annotation Experiences in Virtual Reality with 3D Point Cloud Dioramas.

Subramanian Chidambaram, Alex C. Williams, Min Bai, Satyugjit Virk, Patrick Haffner, Matthew Lease, Li Erran Li

Proceedings of the 2024 ACM Symposium on Spatial User Interaction, 2024

Snapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling.

Alex C. Williams, Min Bai, Jonathan Buck, Tristan J. McKinney, Amy Rechkemmer, Koushik Kalyanaraman, Matthew Lease, Patrick Haffner, Xiong Zhou, Li Erran Li

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2023

The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models.

Chenwei Wu, Li Erran Li, Stefano Ermon, Patrick Haffner, Rong Ge, Zaiwei Zhang

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

2021

Deep Clustering with Measure Propagation.

Minhua Chen, Badrinath Jayakumar, Padmasundari Gopalakrishnan, Qiming Huang, Michael Johnston, Patrick Haffner

CoRR, 2021

2017

Learning to Adapt by Minimizing Discrepancy.

Alexander G. Ororbia II, Patrick Haffner, David Reitter, C. Lee Giles

CoRR, 2017

2014

Latent semantic rational kernels for topic spotting on conversational speech.

Chao Weng, David L. Thomson, Patrick Haffner, Biing-Hwang Juang

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Accelerated Parallel Optimization Methods for Large Scale Machine Learning.

Haipeng Luo, Patrick Haffner, Jean-François Paiement

CoRR, 2014

2013

Understanding the complexity of 3G UMTS network performance.

Yingying Chen, Nick G. Duffield, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Yu Jin, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang

Proceedings of the IFIP Networking Conference, 2013, Brooklyn, 2013

2012

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

Yu Jin, Nick G. Duffield, Jeffrey Erman, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang

ACM Trans. Knowl. Discov. Data, 2012

Characterizing data usage patterns in a large cellular network.

Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang

Proceedings of the 2012 ACM SIGCOMM workshop on Cellular networks: operations, 2012

Predicting Character-Appropriate Voices for a TTS-based Storyteller System.

Erica Greene, Taniya Mishra, Patrick Haffner, Alistair Conkie

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011

Large-scale app-based reporting of customer problems in cellular networks: potential and limitations.

Yu Jin, Nick G. Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang

Proceedings of the first ACM SIGCOMM workshop on Measurements up the stack, 2011

Combining Frame and Segment Level Processing via Temporal Pooling for Phonetic Classification.

Sumit Chopra, Patrick Haffner, Dimitrios Dimitriadis

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Making sense of customer tickets in cellular networks.

Yu Jin, Nick G. Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2010

Inferring applications at the network layer using collective traffic statistics.

Yu Jin, Nick G. Duffield, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang

Proceedings of the 22nd International Teletraffic Congress, 2010

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

Yu Jin, Nick G. Duffield, Alexandre Gerber, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang

Proceedings of the 2010 ACM Conference on Emerging Networking Experiments and Technology, 2010

2009

Rule-Based Anomaly Detection on IP Flows.

Nick G. Duffield, Patrick Haffner, Balachander Krishnamurthy, Haakon Ringberg

Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

2008

GMM/SVM N-best speaker identification under mismatch channel conditions.

Ilija Zeljkovic, Patrick Haffner, Brian Amento, Jay G. Wilpon

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Exploiting Network Structure for Proactive Spam Mitigation.

Shobha Venkataraman, Subhabrata Sen, Oliver Spatscheck, Patrick Haffner, Dawn Song

Proceedings of the 16th USENIX Security Symposium, Boston, MA, USA, August 6-10, 2007, 2007

AT&T Research at 2007.

Zhu Liu, Eric Zavesky, David C. Gibbon, Behzad Shahraray, Patrick Haffner

Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

A Fast, Comprehensive Shot Boundary Determination System.

Zhu Liu, David C. Gibbon, Eric Zavesky, Behzad Shahraray, Patrick Haffner

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction.

Srinivas Bangalore, Patrick Haffner, Stephan Kanthak

Proceedings of the ACL 2007, 2007

2006

Scaling large margin classifiers for spoken language understanding.

Patrick Haffner

Speech Commun., 2006

Modifying boosted trees to improve performance on task 1 of the 2006 KDD challenge cup.

Robert M. Bell, Patrick Haffner, Chris Volinsky

SIGKDD Explor., 2006

AT&T Research at TRECVID 2006.

Zhu Liu, David C. Gibbon, Eric Zavesky, Behzad Shahraray, Patrick Haffner

Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

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

Srinivas Bangalore, Stephan Kanthak, Patrick Haffner

Proceedings of the 2006 International Workshop on Spoken Language Translation, 2006

Sequence classification for machine translation.

Srinivas Bangalore, Patrick Haffner, Stephan Kanthak

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Fast transpose methods for kernel learning on sparse data.

Patrick Haffner

Proceedings of the Machine Learning, 2006

2005

Semantic Data Mining of Short Utterances.

Lee Begeja, Harris Drucker, David C. Gibbon, Patrick Haffner, Zhu Liu, Bernard Renger, Behzad Shahraray

IEEE Trans. Speech Audio Process., 2005

Efficient Multiclass Implementations of L1-Regularized Maximum Entropy

Patrick Haffner, Steven J. Phillips, Robert E. Schapire

CoRR, 2005

ACAS: automated construction of application signatures.

Patrick Haffner, Subhabrata Sen, Oliver Spatscheck, Dongmei Wang

Proceedings of the 1st Annual ACM Workshop on Mining Network Data, 2005

A Learning Approach to Discovering Web Page Semantic Structures.

Junlan Feng, Patrick Haffner, Mazin Gilbert

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

2004

Rational Kernels: Theory and Algorithms.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

J. Mach. Learn. Res., 2004

Aspects of named entity processing.

Michael Levit, Allen L. Gorin, Patrick Haffner, Hiyan Alshawi, Elmar Nöth

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

2003

Weighted automata kernels - general framework and algorithms.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Optimizing SVMs for complex call classification.

Patrick Haffner, Gökhan Tür, Jerry H. Wright

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Lattice kernels for spoken-dialog classification.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Positive Definite Rational Kernels.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

Rational Kernels.

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Escaping the Convex Hull with Extrapolated Vector Machines.

Patrick Haffner

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Efficient Conversion of Digital Documents to Multilayer Raster Formats.

Léon Bottou, Patrick Haffner, Yann LeCun

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

1999

Support vector machines for histogram-based image classification.

Olivier Chapelle, Patrick Haffner, Vladimir Vapnik

IEEE Trans. Neural Networks, 1999

Object Recognition with Gradient-Based Learning.

Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio

Proceedings of the Shape, Contour and Grouping in Computer Vision, 1999

Color Documents on the Web with DJVU.

Patrick Haffner, Yann LeCun, Léon Bottou, Paul G. Howard, Pascal Vincent, Bill Riemers

Proceedings of the 1999 International Conference on Image Processing, 1999

DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution.

Patrick Haffner, Léon Bottou, Paul G. Howard, Yann LeCun

Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

1998

Image and video coding-emerging standards and beyond.

Barry G. Haskell, Paul G. Howard, Yann LeCun, Atul Puri, Jörn Ostermann, M. Reha Civanlar, Lawrence R. Rabiner, Léon Bottou, Patrick Haffner

IEEE Trans. Circuits Syst. Video Technol., 1998

Gradient-based learning applied to document recognition.

Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner

Proc. IEEE, 1998

High quality document image compression with "DjVu".

Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun

J. Electronic Imaging, 1998

Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks.

Patrice Y. Simard, Léon Bottou, Patrick Haffner, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet.

Yann LeCun, Léon Bottou, Patrick Haffner, Paul G. Howard

Proceedings of the 6th Color and Imaging Conference, 1998

Browsing through High Quality Document Images with DjVu.

Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun

Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, 1998

1995

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

Hugues Leprieur, Patrick Haffner

Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

1994

A probabilistic framework for word recognition using phonetic features.

Christoph Windheuser, Frédéric Bimbot, Patrick Haffner

Proceedings of the 3rd International Conference on Spoken Language Processing, 1994

A new probabilistic framework for connectionist time alignment.

Patrick Haffner

Proceedings of the 3rd International Conference on Spoken Language Processing, 1994

1993

Connectionist speech recognition with a global MMI algorithm.

Patrick Haffner

Proceedings of the Third European Conference on Speech Communication and Technology, 1993

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

Denys Boiteau, Patrick Haffner

Proceedings of the Third European Conference on Speech Communication and Technology, 1993

1992

Rapid connectionist speaker adaptation.

Michael Witbrock, Patrick Haffner

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

Connectionist word-level classification in speech recognition.

Patrick Haffner

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991

Multi-State Time Delay Networks for Continuous Speech Recognition.

Patrick Haffner, Alex Waibel

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

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

Patrick Haffner, Alex Waibel

Proceedings of the Second European Conference on Speech Communication and Technology, 1991

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

Patrick Haffner, Michael A. Franzini, Alex Waibel

Proceedings of the 1991 International Conference on Acoustics, 1991

1989

Fast back-propagation learning methods for large phonemic neural networks.

Patrick Haffner, Alex Waibel, Hidefumi Sawai, Kiyohiro Shikano

Proceedings of the First European Conference on Speech Communication and Technology, 1989