PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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PASCAL Network

Full NameSandor Szedmak
TitleResearch Fellow
SiteUniversity of Southampton
StatusTerminated
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Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Information Retrieval & Textual Information Access
Publications

Number of records: 33.

Multiclass classification by L1 norm Support Vector Machine Sandor Szedmak, John Shawe-Taylor, Craig .J. Saunders and David .R. Hardoon Conference or Workshop Item (04 May 2004)
On Maximum Margin Hierarchical Multilabel Classification Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item (01 November 2004)
Support Vector Machine to Synthesise Kernels Hongying Meng, John Shawe-Taylor, Sandor Szedmak and Jason Farquhar Book Section (2005)
A Correlation Approach for Automatic Image Annotation David Hardoon, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item (26 May 0006)
A metamorphosis of Canonical Correlation Analysis into Multivariate Maximum Margin Learning Sandor Szedmak, Tijl De Bie and David Hardoon Conference or Workshop Item Item not available online. (April 2007)
Canonical Correlation Analysis: An Overview with Application to Learning Methods David Hardoon, Sandor Szedmak and John Shawe-Taylor Article Item not available online. (December 2004)
Efficient algorithms for max-margin structured classification Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Book Section Item not available online. (2007)
Efficient algorithms for max-margin structured classification Craig Saunders, Sandor Szedmak, John Shawe-Taylor and Juho Rousu Book Section Item availablity restricted. (30 June 2006)
Exploitation of machine learning techniques in modelling phrase movements for machine translation Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Article Item not available online. (2010)
Generic object recognition by combining distinct features in machine learning Hongying Meng, David Hardoon, John Shawe-Taylor and Sandor Szedmak Conference or Workshop Item Item availablity restricted. (16 January 2005)
Handling phrase reorderings for machine translation Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Conference or Workshop Item (August 2009)
Handling phrase reorderings for machine translation Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Conference or Workshop Item (2009)
Image Ranking with Eye Movements Kitsuchart Pasupa, Sandor Szedmak and David Hardoon Conference or Workshop Item Item not available online. (11 December 2009)
Improving "bag-of-keypoints" image categorisation: Generative Models and PDF-Kernels Jason Farquhar, Sandor Szedmak, Hongying Meng and John Shawe-Taylor Article (2005)
Kernel regression based machine translation Zhuoran Wang, John Shawe-Taylor and Sandor Szedmak Conference or Workshop Item (April 2007)
Kernel-based Learning of Hierarchical Multilabel Classification Models Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Article Item availablity restricted. (05 October 2005)
Learning Hierarchical Multi-Category Text Classification Models Juho Rousu, Craig Saunders, Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item (29 May 2005)
Learning Hierarchies at Two-class Complexity Sandor Szedmak, Craig Saunders, John Shawe-Taylor and Juho Rousu Conference or Workshop Item (10 December 2005)
Learning to Rank Images from Eye Movements Kitsuchart Pasupa, Craig Saunders, Sandor Szedmak, Arto Klami, Samuel Kaski and Steve Gunn Conference or Workshop Item Item not available online. (04 October 2009)
Learning via Linear Operators: Maximum Margin Regression Sandor Szedmak, John Shawe-Taylor and Emilio Parado-Hernandez Monograph (10 January 2006)
Multiclass Learning at One-Class Complexity Sandor Szedmak and John Shawe-Taylor Monograph (19 August 2005)
Reaction kernels: structured output prediction approaches for novel enzyme function Katja Astikainen, Esa Pitkänen, Juho Rousu, Liisa Holm and Sandor Szedmak Conference or Workshop Item (19 February 2010)
Retrieving Keyword's to an Image Query using Kernel CCA David R. Hardoon, Sandor Szedmak and John Shawe-Taylor Monograph (04 June 2004)
Structure learning for natural language processing Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Conference or Workshop Item (2009)
Structured Output Prediction of Novel Enzyme Function with Reaction Kernels Katja Astikainen, Liisa Holm, Esa Pitkänen, Sandor Szedmak and Juho Rousu Book Section Item not available online. (2011)
Support Vector Machine to synthesise kernels Hongying Meng, John Shawe-Taylor, Sandor Szedmak and Jason Farquhar Conference or Workshop Item Item not available online. (07 September 2004)
Synthesis of Maximum Margin and Multiview Learning using Unlabeled Data Sandor Szedmak and John Shawe-Taylor Conference or Workshop Item Item not available online. (26 April 2006)
The 2005 PASCAL Visual Object Classes Challenge Mark Everingham, Andrew Zisserman, Christopher Williams, Luc Van Gool, Moray Allan, Chris Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyorgy Dorko, Stefan Duffner, Jan Eichhorn, Jason Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos Storkey, Sandor Szedmak, William Triggs, Ilkay Ulusoy, Ville Viitaniemi and Jianguo Zhang Book Section (2006)
The application of structured learning in natural language processing Yizhao Ni, Craig Saunders, Sandor Szedmak and Mahesan Niranjan Article Item not available online. (2010)
The Linear Programming Set Covering Machine Zakria Hussain, Sandor Szedmak and John Shawe-Taylor Other (01 June 2004)
Towards Structured Output Prediction of Enzyme Function Katja Astikainen, Liisa Holm, Esa Pitkänen, Sandor Szedmak and Juho Rousu Conference or Workshop Item Item availablity restricted. (24 September 2007)
Towards structured output prediction of enzyme function Katja Astikainen, Liisa Holm, Esa Pitkänen, Sandor Szedmak and Juho Rousu Article Item not available online. (17 December 2008)
Two view learning: SVM-2K, Theory and Practice Jason Farquhar, David Hardoon, Hongying Meng, John Shawe-Taylor and Sandor Szedmak Conference or Workshop Item (06 December 2005)

This list was generated on Sat May 18 11:33:52 BST 2013.