| Shape matching and object recognition using shape contexts S Belongie, J Malik, J Puzicha IEEE transactions on pattern analysis and machine intelligence 24 (4), 509-522, 2002 | 8849 | 2002 |
| Shape context: A new descriptor for shape matching and object recognition S Belongie, J Malik, J Puzicha Advances in neural information processing systems 13, 2000 | 850 | 2000 |
| Latent class models for collaborative filtering T Hofmann, J Puzicha IJCAI 99 (1999), 1999 | 737 | 1999 |
| 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 | 662 | 2004 |
| Matching shapes S Belongie, J Malik, J Puzicha Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 618 | 2001 |
| Empirical evaluation of dissimilarity measures for color and texture J Puzicha, JM Buhmann, Y Rubner, C Tomasi Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999 | 513 | 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 | 467 | 2001 |
| 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 | 456 | 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 | 365 | 1997 |
| Learning from dyadic data T Hofmann, J Puzicha, M Jordan Advances in neural information processing systems 11, 1998 | 353 | 1998 |
| Unsupervised texture segmentation in a deterministic annealing framework T Hofmann, J Puzicha, JM Buhmann IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (8), 803-818, 1998 | 314 | 1998 |
| Statistical models for co-occurrence data T Hofmann, J Puzicha | 222 | 1998 |
| A theory of proximity based clustering: Structure detection by optimization J Puzicha, T Hofmann, JM Buhmann Pattern Recognition 33 (4), 617-634, 2000 | 153 | 2000 |
| Histogram clustering for unsupervised segmentation and image retrieval J Puzicha, T Hofmann, JM Buhmann Pattern Recognition Letters 20 (9), 899-909, 1999 | 133 | 1999 |
| Histogram clustering for unsupervised image segmentation J Puzicha, T Hofmann, JM Buhmann Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and …, 1999 | 112 | 1999 |
| Support vector machines for land usage classification in Landsat TM imagery L Hermes, D Frieauff, J Puzicha, JM Buhmann IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 …, 1999 | 105 | 1999 |
| Dithered color quantization JM Buhmann, DW Fellner, M Held, J Ketterer, J Puzicha Computer Graphics Forum 17 (3), 219-231, 1998 | 103 | 1998 |
| On spatial quantization of color images J Puzicha, M Held, J Ketterer, JM Buhmann, DW Fellner IEEE Transactions on Image Processing 9 (4), 666-682, 2000 | 82 | 2000 |
| System and method for providing information navigation and filtration J Puzicha, T Hofmann US Patent 7,657,522, 2010 | 70 | 2010 |
| Systems and methods for predictive coding J Puzicha, S Vranas US Patent 7,933,859, 2011 | 45 | 2011 |
