| A statistical approach to texture classification from single images M Varma, A Zisserman International journal of computer vision 62 (1-2), 61-81, 2005 | 1514 | 2005 |
| Multiple kernels for object detection A Vedaldi, V Gulshan, M Varma, A Zisserman 2009 IEEE 12th international conference on computer vision, 606-613, 2009 | 992 | 2009 |
| A statistical approach to material classification using image patch exemplars M Varma, A Zisserman IEEE transactions on pattern analysis and machine intelligence 31 (11), 2032 …, 2008 | 728 | 2008 |
| Learning the discriminative power-invariance trade-off M Varma, D Ray 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 711 | 2007 |
| Texture classification: Are filter banks necessary? M Varma, A Zisserman 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 639 | 2003 |
| Character recognition in natural images. TE De Campos, BR Babu, M Varma VISAPP (2) 7, 2009 | 565 | 2009 |
| More generality in efficient multiple kernel learning M Varma, BR Babu Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 522 | 2009 |
| Classifying images of materials: Achieving viewpoint and illumination independence M Varma, A Zisserman European Conference on Computer Vision, 255-271, 2002 | 483 | 2002 |
| Sparse Local Embeddings for Extreme Multi-label Classification. K Bhatia, H Jain, P Kar, M Varma, P Jain NIPS 29, 730-738, 2015 | 385 | 2015 |
| Fastxml: A fast, accurate and stable tree-classifier for extreme multi-label learning Y Prabhu, M Varma Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 351 | 2014 |
| Multi-label learning with millions of labels: Recommending advertiser bid phrases for web pages R Agrawal, A Gupta, Y Prabhu, M Varma Proceedings of the 22nd international conference on World Wide Web, 13-24, 2013 | 279 | 2013 |
| Extreme multi-label loss functions for recommendation, tagging, ranking & other missing label applications H Jain, Y Prabhu, M Varma Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 248 | 2016 |
| Multiple kernel learning and the SMO algorithm Z Sun, N Ampornpunt, M Varma, S Vishwanathan Advances in neural information processing systems 23, 2361-2369, 2010 | 220 | 2010 |
| Locally invariant fractal features for statistical texture classification M Varma, R Garg 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 179 | 2007 |
| Large scale max-margin multi-label classification with priors B Hariharan, L Zelnik-Manor, SVN Vishwanathan, M Varma ICML, 2010 | 170 | 2010 |
| Resource-efficient machine learning in 2 kb ram for the internet of things A Kumar, S Goyal, M Varma International Conference on Machine Learning, 1935-1944, 2017 | 167 | 2017 |
| Learning to re-rank: query-dependent image re-ranking using click data V Jain, M Varma Proceedings of the 20th international conference on World wide web, 277-286, 2011 | 161 | 2011 |
| Fastgrnn: A fast, accurate, stable and tiny kilobyte sized gated recurrent neural network A Kusupati, M Singh, K Bhatia, A Kumar, P Jain, M Varma Advances in neural information processing systems, 9017-9028, 2018 | 132 | 2018 |
| Parabel: Partitioned label trees for extreme classification with application to dynamic search advertising Y Prabhu, A Kag, S Harsola, R Agrawal, M Varma Proceedings of the 2018 World Wide Web Conference, 993-1002, 2018 | 131 | 2018 |
| Local deep kernel learning for efficient non-linear svm prediction C Jose, P Goyal, P Aggrwal, M Varma International conference on machine learning, 486-494, 2013 | 126 | 2013 |
Andrew ZissermanUniversity of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
