Craig Saunders

Publication Activity (10 Years)

Years Active: 1998-2013
Publications (10 Years): 0

Top Topics

Sequence Classification

License Plate Recognition

Template Matching

Sift Descriptors

Top Venues

Visual Information Processing and Communication

ECCV Workshops (2)

Publications

Kyoung-Jae Won, Craig Saunders, Adam Prügel-Bennett
Evolving Fisher Kernels for Biological Sequence Classification. Evol. Comput. 21 (1) (2013)
José A. Rodríguez-Serrano, Harsimrat Sandhawalia, Raja Bala, Florent Perronnin, Craig Saunders
Data-Driven Vehicle Identification by Image Matching. ECCV Workshops (2) (2012)
Raja Bala, Yonghui Zhao, Aaron Burry, Vladimir Kozitsky, Claude Fillion, Craig Saunders, José A. Rodríguez-Serrano
Image simulation for automatic license plate recognition. Visual Information Processing and Communication (2012)
Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. J. Mach. Learn. Res. 12 (2011)
Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders
Building look & feel concept models from color combinations - With applications in image classification, retrieval, and color transfer. Vis. Comput. 27 (12) (2011)
Carlton Chu, Yizhao Ni, Geoffrey C. Y. Tan, Craig Saunders, John Ashburner
Kernel regression for fMRI pattern prediction. NeuroImage 56 (2) (2011)
Sandra Skaff, Luca Marchesotti, Gabriela Csurka, Craig Saunders
A Study on Perceptually Coherent Distance Measures for Color Schemes. Color Imaging Conference (2011)
Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
The application of structured learning in natural language processing. Mach. Transl. 24 (2) (2010)
Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders
Learning moods and emotions from color combinations. ICVGIP (2010)
Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn
Learning to rank images from eye movements. ICCV Workshops (2009)
Bassam Farran, Craig Saunders
Voted Spheres: An Online, Fast Approach to Large Scale Learning. AINA Workshops (2009)
Sándor Szedmák, Esther Galbrun, Craig Saunders, Yizhao Ni
Large scale maximum margin regression based, structural learning approach to phrase translations. SMART@EAMT (2009)
Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor
Sentence-level confidence estimation for MT. SMART@EAMT (2009)
Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan
Handling phrase reorderings for machine translation. ACL/IJCNLP (2) (2009)
Lucia Specia, Marco Turqui, Zhuoran Wang, John Shawe-Taylor, Craig Saunders
Improving the Confidence of Machine Translation Quality Estimates. MTSummit (2009)
Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer
Using string kernels to identify famous performers from their playing style. Intell. Data Anal. 12 (4) (2008)
Yizhao Ni, Carlton Chu, Craig Saunders, John Ashburner
Kernel methods for fMRI pattern prediction. IJCNN (2008)
Arto Klami, Craig Saunders, Teófilo Emídio de Campos, Samuel Kaski
Can relevance of images be inferred from eye movements? Multimedia Information Retrieval (2008)
David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
A Correlation Approach for Automatic Image Annotation. ADMA (2006)
Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
Kernel-Based Learning of Hierarchical Multilabel Classification Models. J. Mach. Learn. Res. 7 (2006)
Alexei Vinokourov, Andrei N. Soklakov, Craig Saunders
A probabilistic framework for mismatch and profile string kernels. ESANN (2005)
Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor
Learning hierarchical multi-category text classification models. ICML (2005)
Barbara Hammer, Craig Saunders, Alessandro Sperduti
Special issue on neural networks and kernel methods for structured domains. Neural Networks 18 (8) (2005)
Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer
Using String Kernels to Identify Famous Performers from Their Playing Style. ECML (2004)
Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
Text Classification using String Kernels. J. Mach. Learn. Res. 2 (2002)
Craig Saunders, John Shawe-Taylor, Alexei Vinokourov
String Kernels, Fisher Kernels and Finite State Automata. NIPS (2002)
Craig Saunders, Hauke Tschach, John Shawe-Taylor
Syllables and other String Kernel Extensions. ICML (2002)
Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk
Comparing the Bayes and Typicalness Frameworks. ECML (2001)
Craig Saunders, Alexander Gammerman, Volodya Vovk
Computationally Efficient Transductive Machines. ALT (2000)
Craig Saunders, Alexander Gammerman, Volodya Vovk
Transduction with Confidence and Credibility. IJCAI (1999)
Volodya Vovk, Alexander Gammerman, Craig Saunders
Machine-Learning Applications of Algorithmic Randomness. ICML (1999)
Craig Saunders, Alexander Gammerman, Volodya Vovk
Ridge Regression Learning Algorithm in Dual Variables. ICML (1998)