| Indoor-outdoor image classification M Szummer, RW Picard Proceedings 1998 IEEE International Workshop on Content-Based Access of …, 1998 | 1048 | 1998 |
| Partially labeled classification with Markov random walks M Szummer, T Jaakkola Advances in neural information processing systems (NIPS) 14, 945-952, 2002 | 840 | 2002 |
| Random walks on the click graph N Craswell, M Szummer Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 586 | 2007 |
| Optimizing binary MRFs via extended roof duality C Rother, V Kolmogorov, V Lempitsky, M Szummer 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 575 | 2007 |
| Efficient object category recognition using classemes L Torresani, M Szummer, A Fitzgibbon Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 574 | 2010 |
| Temporal texture modeling M Szummer, RW Picard Proceedings of 3rd IEEE international conference on image processing 3, 823-826, 1996 | 473 | 1996 |
| Learning CRFs using graph cuts M Szummer, P Kohli, D Hoiem Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 346 | 2008 |
| Semi-supervised learning of compact document representations with deep networks MA Ranzato, M Szummer Proceedings of the 25th international conference on Machine learning, 792-799, 2008 | 258 | 2008 |
| Modeling user subjectivity in image libraries RW Picard, TP Minka, M Szummer Proceedings of 3rd IEEE International Conference on Image Processing 2, 777-780, 1996 | 150 | 1996 |
| Inferring query intent from reformulations and clicks F Radlinski, M Szummer, N Craswell Proceedings of the 19th international conference on World wide web, 1171-1172, 2010 | 140 | 2010 |
| Information regularization with partially labeled data M Szummer, T Jaakkola Advances in Neural Information Processing Systems (NIPS), 1025-1032, 2002 | 137 | 2002 |
| On-line policy optimisation of bayesian spoken dialogue systems via human interaction M Gašić, C Breslin, M Henderson, D Kim, M Szummer, B Thomson, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 101 | 2013 |
| LambdaMerge: merging the results of query reformulations D Sheldon, M Shokouhi, M Szummer, N Craswell Proceedings of the fourth ACM international conference on Web search and …, 2011 | 91 | 2011 |
| POMDP-based dialogue manager adaptation to extended domains M Gašic, C Breslin, M Henderson, D Kim, M Szummer, B Thomson, ... Proc. of the SIGDIAL 2013 Conference, 214-222, 2013 | 85 | 2013 |
| Bayesian conditional random fields Y Qi, M Szummer, T Minka International Workshop on Artificial Intelligence and Statistics, 269-276, 2005 | 85 | 2005 |
| Query intent in information retrieval F Radlinski, M Szummer, N Craswell US Patent 8,380,723, 2013 | 67 | 2013 |
| Bayesian conditional random fields C Bishop, M Szummer, T Centeno, M Svensen, Y Qi US Patent App. 10/999,880, 2006 | 64 | 2006 |
| Diagram structure recognition by bayesian conditional random fields Y Qi, M Szummer, TP Minka 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 61 | 2005 |
| Semi-supervised learning to rank with preference regularization M Szummer, E Yilmaz Proceedings of the 20th ACM international conference on Information and …, 2011 | 58 | 2011 |
| Information retrieval system O Zoeter, MJ Taylor, EL Snelson, JP Guiver, N Craswell, M Szummer US Patent 8,037,043, 2011 | 56 | 2011 |
