EPrints submitted by Sandor Szedmak

Number of EPrints submitted by this user: 10

Multiclass classification by L1 norm Support Vector Machine
Sandor Szedmak, John Shawe-Taylor, Craig .J. Saunders and David .R. Hardoon
In: Pattern Recognition and Machine Learning in Computer Vision Workshop, 02-04 May 2004, Grenoble, France.

Retrieving Keyword's to an Image Query using Kernel CCA
David R. Hardoon, Sandor Szedmak and John Shawe-Taylor
(2004) Working Paper. University of Southampton, Southampton, UK.

Support Vector Machine to Synthesise Kernels
Hongying Meng, John Shawe-Taylor, Sandor Szedmak and Jason Farquhar
In: Deterministic and Statistical Methods in Machine Learning Lecture Notes in Computer Science , Lecture Notes in Artificial Intelligence . (2005) Springer-Verlag , Berlin, Germany , pp. 242-255. ISBN 3-540-29073-7

Multiclass Learning at One-Class Complexity
Sandor Szedmak and John Shawe-Taylor
(2005) Technical Report. School of Electronics and Computer Science, Southampton, UK.

Two view learning: SVM-2K, Theory and Practice
Jason Farquhar, David Hardoon, Hongying Meng, John Shawe-Taylor and Sandor Szedmak
In: NIPS 2005, 5 Dec - 8 Dec 2005, Vancouver.

Learning Hierarchies at Two-class Complexity
Sandor Szedmak, Craig Saunders, John Shawe-Taylor and Juho Rousu
In: NIPS 2005, 9 Dec - 10 Dec 2005, Whistler, Vancouver, Canada.

Learning via Linear Operators: Maximum Margin Regression
Sandor Szedmak, John Shawe-Taylor and Emilio Parado-Hernandez
(2006) Technical Report. PASCAL, Southampton, UK, Southampton, UK.

Synthesis of Maximum Margin and Multiview Learning using Unlabeled Data
Sandor Szedmak and John Shawe-Taylor
In: ESANN 2006, 26-28 April 2006, Bruges, Belgium.

A Universal Machine Learning Optimization Framework For Arbitrary Outputs
Sandor Szedmak and Zakria Hussain
(2009) Working Paper. Sandor Szedmak, Southampton, UK.

Max-margin structured output learning in L1 norm space
Sandor Szedmak, Craig Saunders, Yizhao Ni and Juho Rousu
(2009) Technical Report. Sandor Szedmak, Southampton, UK.