Craig Saunders

According to our database, Craig Saunders authored at least 33 papers between 1998 and 2013.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2013

Evolving Fisher Kernels for Biological Sequence Classification.

Kyoung-Jae Won, Craig Saunders, Adam Prügel-Bennett

Evol. Comput., 2013

2012

Image simulation for automatic license plate recognition.

Raja Bala, Yonghui Zhao, Aaron Burry, Vladimir Kozitsky, Claude Fillion, Craig Saunders, José A. Rodríguez-Serrano

Proceedings of the Visual Information Processing and Communication III, 2012

Data-Driven Vehicle Identification by Image Matching.

José A. Rodríguez-Serrano, Harsimrat Sandhawalia, Raja Bala, Florent Perronnin, Craig Saunders

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011

Building look & feel concept models from color combinations - With applications in image classification, retrieval, and color transfer.

Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders

Vis. Comput., 2011

Kernel regression for fMRI pattern prediction.

Carlton Chu, Yizhao Ni, Geoffrey C. Y. Tan, Craig Saunders, John Ashburner

NeuroImage, 2011

Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation.

Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan

J. Mach. Learn. Res., 2011

A Study on Perceptually Coherent Distance Measures for Color Schemes.

Sandra Skaff, Luca Marchesotti, Gabriela Csurka, Craig Saunders

Proceedings of the 19th Color and Imaging Conference, 2011

2010

The application of structured learning in natural language processing.

Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan

Mach. Transl., 2010

Learning moods and emotions from color combinations.

Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders

Proceedings of the Seventh Indian Conference on Computer Vision, 2010

2009

Improving the Confidence of Machine Translation Quality Estimates.

Lucia Specia, Marco Turqui, Zhuoran Wang, John Shawe-Taylor, Craig Saunders

Proceedings of Machine Translation Summit XII: Papers, 2009

Learning to rank images from eye movements.

Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Large scale maximum margin regression based, structural learning approach to phrase translations.

Sándor Szedmák, Esther Galbrun, Craig Saunders, Yizhao Ni

Proceedings of the Workshop on Statistical Multilingual Analysis for Retrieval and Translation, 2009

Sentence-level confidence estimation for MT.

Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor

Proceedings of the Workshop on Statistical Multilingual Analysis for Retrieval and Translation, 2009

Voted Spheres: An Online, Fast Approach to Large Scale Learning.

Bassam Farran, Craig Saunders

Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009

Handling phrase reorderings for machine translation.

Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan

Proceedings of the ACL 2009, 2009

2008

Using string kernels to identify famous performers from their playing style.

Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer

Intell. Data Anal., 2008

Can relevance of images be inferred from eye movements?

Arto Klami, Craig Saunders, Teófilo Emídio de Campos, Samuel Kaski

Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Kernel methods for fMRI pattern prediction.

Yizhao Ni, Carlton Chu, Craig Saunders, John Ashburner

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Kernels for Strings and Graphs.

Craig Saunders, Anthony A. Demco

Proceedings of the Perspectives of Neural-Symbolic Integration, 2007

2006

Kernel-Based Learning of Hierarchical Multilabel Classification Models.

Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor

J. Mach. Learn. Res., 2006

A Correlation Approach for Automatic Image Annotation.

David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

Special issue on neural networks and kernel methods for structured domains.

Barbara Hammer, Craig Saunders, Alessandro Sperduti

Neural Networks, 2005

Learning hierarchical multi-category text classification models.

Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor

Proceedings of the Machine Learning, 2005

A probabilistic framework for mismatch and profile string kernels.

Alexei Vinokourov, Andrei N. Soklakov, Craig Saunders

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2002

Text Classification using String Kernels.

Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins

J. Mach. Learn. Res., 2002

String Kernels, Fisher Kernels and Finite State Automata.

Craig Saunders, John Shawe-Taylor, Alexei Vinokourov

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Syllables and other String Kernel Extensions.

Craig Saunders, Hauke Tschach, John Shawe-Taylor

Proceedings of the Machine Learning, 2002

2001

Comparing the Bayes and Typicalness Frameworks.

Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Efficient implementation and experimental testing of transductive algorithms for predicting with confidence.

Craig John Saunders

PhD thesis, 2000

Computationally Efficient Transductive Machines.

Craig Saunders, Alex Gammerman, Volodya Vovk

Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000

1999

Transduction with Confidence and Credibility.

Craig Saunders, Alex Gammerman, Volodya Vovk

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Machine-Learning Applications of Algorithmic Randomness.

Volodya Vovk, Alexander Gammerman, Craig Saunders

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Ridge Regression Learning Algorithm in Dual Variables.

Craig Saunders, Alexander Gammerman, Volodya Vovk

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998