Localized content-based image retrieval using semi-supervised multiple instance learning D Zhang, Z Shi, Y Song, C Zhang Asian Conference on Computer Vision, 180-188, 2007 | 354 | 2007 |
Composite hashing with multiple information sources D Zhang, F Wang, L Si Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 244 | 2011 |
An experimental evaluation of ensemble methods for EEG signal classification S Sun, C Zhang, D Zhang Pattern Recognition Letters 28 (15), 2157-2163, 2007 | 158 | 2007 |
Multi-view transfer learning with a large margin approach D Zhang, J He, Y Liu, L Si, R Lawrence Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 85 | 2011 |
M 3 IC: maximum margin multiple instance clustering D Zhang, F Wang, L Si, T Li IJCAI 9, 1339-1344, 2009 | 75* | 2009 |
Semi-supervised classification with universum D Zhang, J Wang, F Wang, C Zhang Proceedings of the 2008 SIAM International Conference on Data Mining, 323-333, 2008 | 72 | 2008 |
Interactive localized content based image retrieval with multiple-instance active learning D Zhang, F Wang, Z Shi, C Zhang Pattern Recognition 43 (2), 478-484, 2010 | 71 | 2010 |
Semantic hashing using tags and topic modeling Q Wang, D Zhang, L Si Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 65 | 2013 |
Multiple Instance Learning on Structured Data D Zhang, Y Liu, L Si, J Zhang, RD Lawrence Advances in Neural Information Processing Systems 24, 145-153, 2011 | 62 | 2011 |
Document clustering with universum D Zhang, J Wang, L Si Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 43 | 2011 |
Maximum margin multiple instance clustering with applications to image and text clustering D Zhang, F Wang, L Si, T Li IEEE Transactions on Neural Networks 22 (5), 739-751, 2011 | 41 | 2011 |
Learning to hash with partial tags: Exploring correlation between tags and hashing bits for large scale image retrieval Q Wang, L Si, D Zhang European Conference on Computer Vision, 378-392, 2014 | 40 | 2014 |
Multi-View Local Learning. D Zhang, F Wang, C Zhang, T Li AAAI, 752-757, 2008 | 37 | 2008 |
Mi2ls: multi-instance learning from multiple informationsources D Zhang, J He, R Lawrence Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 36 | 2013 |
Learning with minimum supervision: A general framework for transductive transfer learning MT Bahadori, Y Liu, D Zhang 2011 IEEE 11th International Conference on Data Mining, 61-70, 2011 | 36 | 2011 |
Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images Y Song, C Zhang, J Lee, F Wang, S Xiang, D Zhang Pattern Analysis and Applications 12 (2), 99-115, 2009 | 35 | 2009 |
Weighted hashing for fast large scale similarity search Q Wang, D Zhang, L Si Proceedings of the 22nd ACM international conference on Information …, 2013 | 26 | 2013 |
System and method for domain adaption with partial observation VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang US Patent 8,856,050, 2014 | 23 | 2014 |
Mileage: Multiple instance learning with global embedding D Zhang, J He, L Si, R Lawrence International Conference on Machine Learning, 82-90, 2013 | 18 | 2013 |
Serendipitous learning: learning beyond the predefined label space D Zhang, Y Liu, L Si Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 16 | 2011 |