Generic object recognition by combining distinct features in machine (2008)
Hongying Meng, David R. Hardoon, John Shawe-taylor, Or Szedmak
learning
Generic object recognition by combining distinct features in machine (2008)
Hongying Meng, David R. Hardoon, John Shawe-taylor, Or Szedmak
learning
Synthesis of Maximum Margin and Multiview Learning using Unlabeled Data (2008)
Abstract. In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exploits the...
Sparse canonical correlation analysis (2007)
David R. Hardoon, Or Szedmak, John Shawe-taylor
overview with application to learning methods
The 2005 pascal visual object classes challenge (2006)
Mark Everingham, Andrew Zisserman, Luc Van Gool, Moray Allan, Christopher M. Bishop, ...
Abstract. The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes...
The 2005 pascal visual object classes challenge (2006)
Mark Everingham, Andrew Zisserman, Luc Van Gool, Moray Allan, Christopher M. Bishop, ...
Abstract. The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes...
The 2005 pascal visual object classes challenge (2006)
Mark Everingham, Andrew Zisserman, Luc Van Gool, Moray Allan, Christopher M. Bishop, ...
Abstract. The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes...
A correlation approach for automatic image annotation (2006)
David R. Hardoon, Craig Saunders, Or Szedmak
Abstract. The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learning for the...