| Canonical correlation analysis: An overview with application to learning methods DR Hardoon, S Szedmak, J Shawe-Taylor Neural computation 16 (12), 2639-2664, 2004 | 3884 | 2004 |
| Two view learning: SVM-2K, theory and practice J Farquhar, D Hardoon, H Meng, J Shawe-Taylor, S Szedmak Advances in neural information processing systems 18, 2005 | 440 | 2005 |
| Sparse canonical correlation analysis DR Hardoon, J Shawe-Taylor Machine Learning 83, 331-353, 2011 | 329 | 2011 |
| Patient classification as an outlier detection problem: an application of the one-class support vector machine J Mourão-Miranda, DR Hardoon, T Hahn, AF Marquand, SCR Williams, ... Neuroimage 58 (3), 793-804, 2011 | 192 | 2011 |
| Unsupervised analysis of fMRI data using kernel canonical correlation DR Hardoon, J Mourao-Miranda, M Brammer, J Shawe-Taylor NeuroImage 37 (4), 1250-1259, 2007 | 153 | 2007 |
| Multiview fisher discriminant analysis T Diethe, DR Hardoon, J Shawe-Taylor NIPS workshop on learning from multiple sources 1, 2008 | 119 | 2008 |
| Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms O Boehm, DR Hardoon, LM Manevitz International Journal of Machine Learning and Cybernetics 2, 125-134, 2011 | 79 | 2011 |
| Can eyes reveal interest? Implicit queries from gaze patterns A Ajanki, DR Hardoon, S Kaski, K Puolamäki, J Shawe-Taylor User Modeling and User-Adapted Interaction 19, 307-339, 2009 | 78 | 2009 |
| Convergence analysis of kernel canonical correlation analysis: theory and practice DR Hardoon, J Shawe-Taylor Machine learning 74, 23-38, 2009 | 75 | 2009 |
| KCCA for different level precision in content-based image retrieval DR Hardoon, J Shawe-Taylor Proceedings of Third International Workshop on Content-Based Multimedia …, 2003 | 74 | 2003 |
| A correlation approach for automatic image annotation DR Hardoon, C Saunders, S Szedmak, J Shawe-Taylor International Conference on Advanced Data Mining and Applications, 681-692, 2006 | 69 | 2006 |
| Using string kernels to identify famous performers from their playing style C Saunders, DR Hardoon, J Shawe-Taylor, G Widmer Machine Learning: ECML 2004: 15th European Conference on Machine Learning …, 2004 | 68 | 2004 |
| Active learning with extremely sparse labeled examples S Sun, DR Hardoon Neurocomputing 73 (16-18), 2980-2988, 2010 | 58 | 2010 |
| Constructing nonlinear discriminants from multiple data views T Diethe, DR Hardoon, J Shawe-Taylor Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 58 | 2010 |
| Learning the semantics of multimedia content with application to web image retrieval and classification A Vinokourov, DR Hardoon, J Shawe-Taylor | 58 | 2003 |
| Data analytics and predictive analytics in the era of big data A Shi‐Nash, DR Hardoon Internet of things and data analytics handbook, 329-345, 2017 | 54 | 2017 |
| Getting started with business analytics: insightful decision-making DR Hardoon, G Shmueli CRC Press, 2013 | 52 | 2013 |
| Image ranking with implicit feedback from eye movements DR Hardoon, K Pasupa Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications …, 2010 | 49 | 2010 |
| Information retrieval by inferring implicit queries from eye movements DR Hardoon, J Shawe-Taylor, A Ajanki, K Puolamäki, S Kaski Artificial Intelligence and Statistics, 179-186, 2007 | 47 | 2007 |
| Design and generalization analysis of orthogonal matching pursuit algorithms Z Hussain, J Shawe-Taylor, DR Hardoon, C Dhanjal IEEE Transactions on information theory 57 (8), 5326-5341, 2011 | 40 | 2011 |
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
