Craig Saunders
Craig Saunders
Head of Applied Science, Amazon Alexa Knowledge
Verified email at amazon.com
TitleCited byYear
Text classification using string kernels
H Lodhi, C Saunders, J Shawe-Taylor, N Cristianini, C Watkins
The Journal of Machine Learning Research 2, 419-444, 2002
15982002
Ridge regression learning algorithm in dual variables
C Saunders, A Gammerman, V Vovk
(ICML-1998) Proceedings of the 15th International Conference on Machine …, 1998
7921998
Learning hierarchical multi-category text classification models
J Rousu, C Saunders, S Szedmak, J Shawe-Taylor
Journal of Machine Learning Research 7, 1601-1626, 2006
369*2006
Kernel-based learning of hierarchical multilabel classification models
J Rousu, C Saunders, S Szedmak, J Shawe-Taylor
The Journal of Machine Learning Research 7, 1601-1626, 2006
2822006
TEXT-BASED SEARCHING OF IMAGE DATA
JAR Serrano, F Perronnin, CJ Saunders
US Patent 20,130,060,786, 2013
1932013
Transduction with confidence and credibility
C Saunders, A Gammerman, V Vovk
Proceedings of the Sixteenth International Joint Conference on Artificial …, 1999
1781999
Support vector machine-reference manual
C Saunders, MO Stitson, J Weston, L Bottou, A Smola
Royal Holloway, University of London, 1998
1731998
Machine-learning applications of algorithmic randomness
V Vovk, A Gammerman, C Saunders
Proceedings of the Sixteenth International Conference on Machine Learning …, 1999
1381999
Learning hierarchical multi-category text classification models
J Rousu, C Saunders, S Szedmak, J Shawe-Taylor
Proceedings of the 22nd international conference on Machine learning, 744-751, 2005
1082005
Using String Kernels to Identify Performers from their Playing Style
DR Hardoon, C Saunders, J Shawe-Taylor, G Widmer
to appear in the Proceedings of the European Conference on Machine Learning …, 2004
87*2004
Using string kernels to identify famous performers from their playing style
C Saunders, DR Hardoon, J Shawe-Taylor, G Widmer
Machine Learning: ECML 2004, 384-395, 2004
86*2004
Comparing the Bayes and typicalness frameworks
T Melluish, C Saunders, I Nouretdinov, V Vovk
Machine Learning: ECML 2001, 360-371, 2001
782001
Improving the confidence of machine translation quality estimates
L Specia, M Turchi, Z Wang, J Shawe-Taylor, C Saunders
732009
Learning moods and emotions from color combinations
G Csurka, S Skaff, L Marchesotti, C Saunders
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics …, 2010
692010
TECHNIQUES TO ENABLE AUTOMATED WORKFLOWS FOR THE CREATION OF USER-CUSTOMIZED PHOTOBOOKS
CJ Saunders, L Marchesotti, JE Lin, RJ Rolleston, TL Maloney
US Patent 20,120,294,514, 2012
682012
Kernel regression for fMRI pattern prediction
C Chu, Y Ni, G Tan, CJ Saunders, J Ashburner
neuroimage 56 (2), 662-673, 2011
662011
Can relevance of images be inferred from eye movements?
A Klami, C Saunders, TE de Campos, S Kaski
Proceedings of the 1st ACM international conference on Multimedia …, 2008
642008
A correlation approach for automatic image annotation
D Hardoon, C Saunders, S Szedmak, J Shawe-Taylor
Advanced Data Mining and Applications, 681-692, 2006
642006
SYSTEM AND METHOD FOR ADVERTISING USING IMAGE SEARCH AND CLASSIFICATION
CJ Saunders, N Guérin, R Islam, C Cayol, T Dalban, S Dabet
US Patent 20,120,239,506, 2012
552012
String kernels, fisher kernels and finite state automata
C Saunders, A Vinokourov, JS Shawe-taylor
Advances in Neural Information Processing Systems, 633-640, 2002
552002
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