Support Vector Machines N Cristianini, J Shawe-Taylor Cambridge: Cambridge University Press, 2000 | 21608 | 2000 |
The pascal visual object classes (voc) challenge M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman International journal of computer vision 88 (2), 303-338, 2010 | 12606* | 2010 |
Kernel methods for pattern analysis J Shawe-Taylor, N Cristianini Cambridge university press, 2004 | 8049 | 2004 |
Estimating the support of a high-dimensional distribution B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson Neural computation 13 (7), 1443-1471, 2001 | 5154 | 2001 |
Canonical correlation analysis: An overview with application to learning methods DR Hardoon, S Szedmak, J Shawe-Taylor Neural computation 16 (12), 2639-2664, 2004 | 2784 | 2004 |
Large margin dags for multiclass classification. JC Platt, N Cristianini, J Shawe-Taylor nips 12, 547-553, 1999 | 2759 | 1999 |
Text classification using string kernels H Lodhi, C Saunders, J Shawe-Taylor, N Cristianini, C Watkins Journal of Machine Learning Research 2 (Feb), 419-444, 2002 | 1780 | 2002 |
Support vector method for novelty detection. B Schölkopf, RC Williamson, AJ Smola, J Shawe-Taylor, JC Platt NIPS 12, 582-588, 1999 | 1520 | 1999 |
On kernel target alignment N Cristianini, J Kandola, A Elisseeff, J Shawe-Taylor Innovations in Machine Learning, 205-256, 2006 | 1184 | 2006 |
Intelligent data analysis M Berthold, DJ Hand Springer, 2003 | 824 | 2003 |
Support vector machines J Shawe-Taylor, N Cristianini Cambridge university press, 2000 | 730 | 2000 |
Structural risk minimization over data-dependent hierarchies J Shawe-Taylor, PL Bartlett, RC Williamson, M Anthony IEEE transactions on Information Theory 44 (5), 1926-1940, 1998 | 656 | 1998 |
Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... International conference on neural information processing, 117-124, 2013 | 648 | 2013 |
Linear programming boosting via column generation A Demiriz, KP Bennett, J Shawe-Taylor Machine Learning 46 (1), 225-254, 2002 | 524 | 2002 |
Latent semantic kernels N Cristianini, J Shawe-Taylor, H Lodhi Journal of Intelligent Information Systems 18 (2), 127-152, 2002 | 402 | 2002 |
Generalization performance of support vector machines and other pattern classifiers P Bartlett, J Shawe-Taylor Advances in Kernel methods—support vector learning, 43-54, 1999 | 394 | 1999 |
Two view learning: SVM-2K, theory and practice J Farquhar, DR Hardoon, H Meng, J Shawe-Taylor, S Szedmak School of Electronics and Computer Science, University of Southampton …, 2005 | 346 | 2005 |
Kernel-based learning of hierarchical multilabel classification models J Rousu, C Saunders, S Szedmak, J Shawe-Taylor Journal of Machine Learning Research 7, 1601-1626, 2006 | 323 | 2006 |
Inferring a semantic representation of text via cross-language correlation analysis A Vinokourov, N Cristianini, J Shawe-Taylor Advances in neural information processing systems 15, 1497-1504, 2002 | 297 | 2002 |
The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges Workshop, 117-176, 2005 | 296 | 2005 |