| Probabilistic latent semantic indexing T Hofmann Proceedings of the 22nd annual international ACM SIGIR conference on …, 1999 | 6398 | 1999 |
| Probabilistic latent semantic analysis T Hofmann arXiv preprint arXiv:1301.6705, 2013 | 3012 | 2013 |
| Unsupervised learning by probabilistic latent semantic analysis T Hofmann Machine learning 42 (1-2), 177-196, 2001 | 3010 | 2001 |
| Large margin methods for structured and interdependent output variables I Tsochantaridis, T Joachims, T Hofmann, Y Altun Journal of machine learning research 6 (Sep), 1453-1484, 2005 | 2426 | 2005 |
| Latent semantic models for collaborative filtering T Hofmann ACM Transactions on Information Systems (TOIS) 22 (1), 89-115, 2004 | 1764 | 2004 |
| Support vector machines for multiple-instance learning S Andrews, I Tsochantaridis, T Hofmann Advances in neural information processing systems 15, 577-584, 2002 | 1678 | 2002 |
| Support vector machine learning for interdependent and structured output spaces I Tsochantaridis, T Hofmann, T Joachims, Y Altun Proceedings of the twenty-first international conference on Machine learning …, 2004 | 1653 | 2004 |
| Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola The annals of statistics, 1171-1220, 2008 | 1644 | 2008 |
| Beyond sliding windows: Object localization by efficient subwindow search CH Lampert, MB Blaschko, T Hofmann 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 925 | 2008 |
| Latent class models for collaborative filtering T Hofmann, J Puzicha IJCAI 99 (1999), 1999 | 649 | 1999 |
| Hidden Markov support vector machines Y Altun, I Tsochantaridis, T Hofmann Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 637 | 2003 |
| The missing link-a probabilistic model of document content and hypertext connectivity DA Cohn, T Hofmann Advances in neural information processing systems, 430-436, 2001 | 597 | 2001 |
| Pairwise data clustering by deterministic annealing T Hofmann, JM Buhmann Ieee transactions on pattern analysis and machine intelligence 19 (1), 1-14, 1997 | 592 | 1997 |
| Collaborative filtering via gaussian probabilistic latent semantic analysis T Hofmann Proceedings of the 26th annual international ACM SIGIR conference on …, 2003 | 547 | 2003 |
| System and method for personalized search, information filtering, and for generating recommendations utilizing statistical latent class models T Hofmann, JC Puzicha US Patent 6,687,696, 2004 | 517 | 2004 |
| Unifying collaborative and content-based filtering J Basilico, T Hofmann Proceedings of the twenty-first international conference on Machine learning, 9, 2004 | 465 | 2004 |
| Efficient subwindow search: A branch and bound framework for object localization CH Lampert, MB Blaschko, T Hofmann IEEE transactions on pattern analysis and machine intelligence 31 (12), 2129 …, 2009 | 452 | 2009 |
| Hierarchical document categorization with support vector machines L Cai, T Hofmann Proceedings of the thirteenth ACM international conference on Information …, 2004 | 448 | 2004 |
| System and method for personalized search, information filtering, and for generating recommendations utilizing statistical latent class models T Hofmann, JC Puzicha US Patent 7,328,216, 2008 | 352 | 2008 |
| Non-parametric similarity measures for unsupervised texture segmentation and image retrieval J Puzicha, T Hofmann, JM Buhmann Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997 | 343 | 1997 |
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
