Craig Saunders

José A. Rodríguez-Serrano, Harsimrat Sandhawalia, Raja Bala, Florent Perronnin, Craig Saunders: Data-Driven Vehicle Identification by Image Matching. ECCV Workshops (2) 2012: 536-545

Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan: Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. Journal of Machine Learning Research 12: 1-30 (2011)

Carlton Chu, Yizhao Ni, Geoffrey C. Y. Tan, Craig Saunders, John Ashburner: Kernel regression for fMRI pattern prediction. NeuroImage 56(2): 662-673 (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. The Visual Computer 27(12): 1039-1053 (2011)

Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan: The application of structured learning in natural language processing. Machine Translation 24(2): 71-85 (2010)

Gabriela Csurka, Sandra Skaff, Luca Marchesotti, Craig Saunders: Learning moods and emotions from color combinations. ICVGIP 2010: 298-305

Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan: Handling phrase reorderings for machine translation. ACL/IJCNLP (Short Papers) 2009: 241-244

Bassam Farran, Craig Saunders: Voted Spheres: An Online, Fast Approach to Large Scale Learning. AINA Workshops 2009: 744-749

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): 425-440 (2008)

Yizhao Ni, Carlton Chu, Craig Saunders, John Ashburner: Kernel methods for fMRI pattern prediction. IJCNN 2008: 692-697

Arto Klami, Craig Saunders, Teófilo Emídio de Campos, Samuel Kaski: Can relevance of images be inferred from eye movements? Multimedia Information Retrieval 2008: 134-140

Craig Saunders, Anthony Demco: Kernels for Strings and Graphs. Perspectives of Neural-Symbolic Integration 2007: 7-22

Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor: Kernel-Based Learning of Hierarchical Multilabel Classification Models. Journal of Machine Learning Research 7: 1601-1626 (2006)

David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor: A Correlation Approach for Automatic Image Annotation. ADMA 2006: 681-692

Craig Saunders, Marko Grobelnik, Steve R. Gunn, John Shawe-Taylor (Eds.): Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers. Lecture Notes in Computer Science 3940, Springer 2006, isbn 3-540-34137-4

Barbara Hammer, Craig Saunders, Alessandro Sperduti: Special issue on neural networks and kernel methods for structured domains. Neural Networks 18(8): 1015-1018 (2005)

Alexei Vinokourov, Andrei N. Soklakov, Craig Saunders: A probabilistic framework for mismatch and profile string kernels. ESANN 2005: 325-330

Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor: Learning hierarchical multi-category text classification models. ICML 2005: 744-751

Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer: Using String Kernels to Identify Famous Performers from Their Playing Style. ECML 2004: 384-395

Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins: Text Classification using String Kernels. Journal of Machine Learning Research 2: 419-444 (2002)

Craig Saunders, Hauke Tschach, John Shawe-Taylor: Syllables and other String Kernel Extensions. ICML 2002: 530-537

Craig Saunders, John Shawe-Taylor, Alexei Vinokourov: String Kernels, Fisher Kernels and Finite State Automata. NIPS 2002: 633-640

Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk: Comparing the Bayes and Typicalness Frameworks. ECML 2001: 360-371

Craig Saunders, Alexander Gammerman, Volodya Vovk: Computationally Efficient Transductive Machines. ALT 2000: 325-333

Volodya Vovk, Alexander Gammerman, Craig Saunders: Machine-Learning Applications of Algorithmic Randomness. ICML 1999: 444-453

Craig Saunders, Alexander Gammerman, Volodya Vovk: Transduction with Confidence and Credibility. IJCAI 1999: 722-726

Craig Saunders, Alexander Gammerman, Volodya Vovk: Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521