Hardoon, David R.

10 publications

MLJ 2011 Sparse Canonical Correlation Analysis David R. Hardoon, John Shawe-Taylor

ECML-PKDD 2010 Constructing Nonlinear Discriminants from Multiple Data Views Tom Diethe, David R. Hardoon, John Shawe-Taylor

MLJ 2010 Decomposing the Tensor Kernel Support Vector Machine for Neuroscience Data with Structured Labels David R. Hardoon, John Shawe-Taylor

ECML-PKDD 2010 Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval Zakria Hussain, Alex Po Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer, John Shawe-Taylor

MLJ 2010 Guest Editorial: Learning from Multiple Sources Nicolò Cesa-Bianchi, David R. Hardoon, Gayle Leen

MLJ 2009 Convergence Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David R. Hardoon, John Shawe-Taylor

AISTATS 2007 Information Retrieval by Inferring Implicit Queries from Eye Movements David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski

IJCAI 2005 fMRI Analysis via One-Class Machine Learning Techniques David R. Hardoon, Larry M. Manevitz

NeCo 2004 Canonical Correlation Analysis: An Overview with Application to Learning Methods David R. Hardoon, Sándor Szedmák, John Shawe-Taylor

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