| Distortion invariant object recognition in the dynamic link architecture M Lades, JC Vorbruggen, J Buhmann, J Lange, C Von Der Malsburg, ... IEEE Transactions on computers 42 (3), 300-311, 1993 | 2827 | 1993 |
| The balanced accuracy and its posterior distribution KH Brodersen, CS Ong, KE Stephan, JM Buhmann 2010 20th international conference on pattern recognition, 3121-3124, 2010 | 1903 | 2010 |
| Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry C Giesen, HAO Wang, D Schapiro, N Zivanovic, A Jacobs, B Hattendorf, ... Nature methods 11 (4), 417-422, 2014 | 1748 | 2014 |
| Stability-based validation of clustering solutions T Lange, V Roth, ML Braun, JM Buhmann Neural computation 16 (6), 1299-1323, 2004 | 667 | 2004 |
| Pairwise data clustering by deterministic annealing T Hofmann, JM Buhmann Pattern Analysis and Machine Intelligence, IEEE Transactions on 19 (1), 1-14, 1997 | 617 | 1997 |
| Empirical evaluation of dissimilarity measures for color and texture J Puzicha, JM Buhmann, Y Rubner, C Tomasi Computer Vision, 1999. The Proceedings of the Seventh IEEE International …, 1999 | 511 | 1999 |
| Empirical evaluation of dissimilarity measures for color and texture Y Rubner, J Puzicha, C Tomasi, JM Buhmann Computer vision and image understanding 84 (1), 25-43, 2001 | 471 | 2001 |
| Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation J Zilly, JM Buhmann, D Mahapatra Computerized Medical Imaging and Graphics 55, 28-41, 2017 | 422 | 2017 |
| Crowdsourcing the creation of image segmentation algorithms for connectomics I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ... Frontiers in neuroanatomy 9, 152591, 2015 | 383 | 2015 |
| 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 | 369 | 1997 |
| Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry L Reiter, M Claassen, SP Schrimpf, M Jovanovic, A Schmidt, JM Buhmann, ... Molecular & Cellular Proteomics 8 (11), 2405-2417, 2009 | 364 | 2009 |
| Topology free hidden markov models: Application to background modeling B Stenger, V Ramesh, N Paragios, F Coetzee, JM Buhmann Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International …, 2001 | 336 | 2001 |
| Sensory segmentation with coupled neural oscillators C von der Malsburg, J Buhmann Biological Cybernetics 67 (3), 233-242, 1992 | 317 | 1992 |
| Unsupervised texture segmentation in a deterministic annealing framework T Hofmann, J Puzicha, JM Buhmann Pattern Analysis and Machine Intelligence, IEEE Transactions on 20 (8), 803-818, 1998 | 314 | 1998 |
| Ti-pooling: transformation-invariant pooling for feature learning in convolutional neural networks D Laptev, N Savinov, JM Buhmann, M Pollefeys Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 312 | 2016 |
| Computational pathology: challenges and promises for tissue analysis TJ Fuchs, JM Buhmann Computerized Medical Imaging and Graphics 35 (7-8), 515-530, 2011 | 309 | 2011 |
| The mobile robot Rhino J Buhmann, W Burgard, AB Cremers, D Fox, T Hofmann, FE Schneider, ... Ai Magazine 16 (2), 31-31, 1995 | 307 | 1995 |
| Path-based clustering for grouping of smooth curves and texture segmentation B Fischer, JM Buhmann IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (4), 513-518, 2003 | 302 | 2003 |
| Guarantees for greedy maximization of non-submodular functions with applications AA Bian, JM Buhmann, A Krause, S Tschiatschek International conference on machine learning, 498-507, 2017 | 289 | 2017 |
| Bagging for path-based clustering B Fischer, JM Buhmann IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (11), 1411 …, 2003 | 286 | 2003 |
Peter J. SchüfflerTUMVerified email at tum.de