Martin Szummer

发表

Generative models and Bayesian model comparison for shape recognition

Balaji Krishnapuram, Christopher M. Bishop, Martin Szummer, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Temporal texture modeling

Martin Szummer, Rosalind W. Picard, M. Szummer, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Snitch: interactive decision trees for troubleshooting misconfigurations

Martin Szummer, Dushyanth Narayanan, James Mickens, 2007 .

Markov Random Walk Representations with Continuous Distributions pdf

Martin Szummer, Chen-Hsiang Yeang, 2003, UAI.

Information Retrieval System

Nick Craswell, Martin Szummer, John Guiver, 2004 .

Evaluation of Statistical POMDP-Based Dialogue Systems in Noisy Environments

Dongho Kim, Steve Young, Matthew Henderson, 2016 .

Random walks on the click graph

Nick Craswell, Martin Szummer, Nick Craswell, 2007, SIGIR.

Cost-Sensitive Machine Learning for Information Retrieval

Filip Radlinski, Martin Szummer, Filip Radlinski, 2011 .

Towards Verified Robustness under Text Deletion Interventions

Po-Sen Huang, Pushmeet Kohli, Martin Szummer, 2020, ICLR.

Learning CRFs Using Graph Cuts

Derek Hoiem, Pushmeet Kohli, Martin Szummer, 2008, ECCV.

Efficient Object Category Recognition Using Classemes

Andrew W. Fitzgibbon, Lorenzo Torresani, Martin Szummer, 2010, ECCV.

A Graphical Model for Simultaneous Partitioning and Labeling

Martin Szummer, Philip J. Cowans, 2005, AISTATS.

LambdaMerge: merging the results of query reformulations

Milad Shokouhi, Nick Craswell, Martin Szummer, 2011, WSDM '11.

Computer aided diagnosis of bone lesions in the facial skeleton

Bernd Girod, Martin Szummer, Sabine Girod, 1998, Bildverarbeitung für die Medizin.

Relevance feedback exploiting query-specific document manifolds

Emine Yilmaz, Martin Szummer, Chang Wang, 2011, CIKM '11.

Incremental on-line adaptation of POMDP-based dialogue managers to extended domains

Dongho Kim, Matthew Henderson, Milica Gasic, 2014, INTERSPEECH.

Amortized learning of neural causal representations pdf

Martin Szummer, Danilo Jimenez Rezende, Nan Rosemary Ke, 2020, ArXiv.

Diagram structure recognition by Bayesian conditional random fields

Yuan Qi, Tom Minka, Martin Szummer, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Kernel Expansions with Unlabeled Examples

Tommi S. Jaakkola, Martin Szummer, T. Jaakkola, 2000, NIPS.

Dialogue context sensitive HMM-based speech synthesis

Dongho Kim, Matthew Henderson, Milica Gasic, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Semi-supervised learning of compact document representations with deep networks

Marc'Aurelio Ranzato, Martin Szummer, Marc'Aurelio Ranzato, 2008, ICML '08.

Modeling user subjectivity in image libraries

Tom Minka, Martin Szummer, Rosalind W. Picard, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Learning diagram parts with hidden random fields

Martin Szummer, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Large Scale Image Retrieval

Jiri Matas, Ondrej Chum, Martin Szummer, 2011 .

Semi-supervised learning to rank with preference regularization

Emine Yilmaz, Martin Szummer, M. Szummer, 2011, CIKM '11.

Partially labeled classification with Markov random walks

Tommi S. Jaakkola, Martin Szummer, T. Jaakkola, 2001, NIPS.

Incorporating Context and User Feedback in Pen-Based Interfaces

Martin Szummer, Philip J. Cowans, M. Szummer, 2004, AAAI Technical Report.

Indoor-outdoor image classification

Martin Szummer, Rosalind W. Picard, M. Szummer, 1998, Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database.

Classemes: A Compact Image Descriptor for Efficient Novel-Class Recognition and Search

Andrew W. Fitzgibbon, Lorenzo Torresani, Martin Szummer, 2014, Registration and Recognition in Images and Videos.

Contextual recognition of hand-drawn diagrams with conditional random fields

Yuan Qi, Martin Szummer, M. Szummer, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Learning query-dependent prefilters for scalable image retrieval

Lorenzo Torresani, Martin Szummer, Andrew Fitzgibbon, 2009, CVPR.

Inferring query intent from reformulations and clicks

Filip Radlinski, Nick Craswell, Martin Szummer, 2010, WWW '10.

Optimizing Binary MRFs via Extended Roof Duality

Vladimir Kolmogorov, Carsten Rother, Martin Szummer, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Bayesian Conditional Random Fields

Yuan Qi, Tom Minka, Martin Szummer, 2005, AISTATS.

Behavioral classification on the click graph

Nick Craswell, Martin Szummer, Nick Craswell, 2008, WWW.

Balance Regularized Neural Network Models for Causal Effect Estimation pdf

Mehrdad Farajtabar, Martin Szummer, Andrew Lee, 2020, ArXiv.

Information Regularization with Partially Labeled Data

Tommi S. Jaakkola, Martin Szummer, T. Jaakkola, 2002, NIPS.

A Decision Theoretic Framework for Ranking using Implicit Feedback

Martin Szummer, Nick Craswell, John Guiver, 2008 .

On-line policy optimisation of Bayesian spoken dialogue systems via human interaction

Dongho Kim, Matthew Henderson, Milica Gasic, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Continuous asr for flexible incremental dialogue

Dongho Kim, Matthew Henderson, Milica Gasic, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Metrics for assessing sets of subtopics

Filip Radlinski, Nick Craswell, Martin Szummer, 2010, SIGIR '10.

POMDP-based dialogue manager adaptation to extended domains

Dongho Kim, Matthew Henderson, Milica Gasic, 2013, SIGDIAL Conference.

Discriminative Writer Adaptation

Christopher M. Bishop, Martin Szummer, Charles M. Bishop, 2006 .