EPrints submitted by David Hardoon

Number of EPrints submitted by this user: 36

Using String Kernels to Identify Famous Performers from their Playing Style
Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer
In: The 15th European Conference on Machine Learning (ECML) and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 20-24 September 2004, Pisa, Italy.

KCCA for fMRI Analysis
David Hardoon, John Shawe-Taylor and Ola Friman
In: The Medical Image Understanding and Analysis conference (MIUA) 2004, 23-24 September 2004, London, UK.

KCCA Feature Selection for fMRI Analysis
David Hardoon, John Shawe-Taylor and Ola Friman
(2004) Technical Report. Not intendent for publication.

Signal Extraction for Brain-Computer Interface
David Hardoon and John Shawe-Taylor
In: 17th Neural Information Processing Systems Workshop on 'Machine Learning Meets the User Interface', Vancouver, Canada(2003).

fMRI Analysis via One-class Machine Learning Techniques
David Hardoon and Larry M. Manevitz
In: 19th International Joint Conference on Aritifical Intelligence, 30 JUL - 05 AUG 2005, Edinburgh, Scotland, UK.

Canonical Correlation Analysis: An Overview with Application to Learning Methods
David Hardoon, Sandor Szedmak and John Shawe-Taylor
Neural Computation Volume 16, Number 12, pp. 2639-2664, 2004.

Using Fisher Kernels and Hidden Markov Models for the Identification of Famous Composers from their Sheet Music
David Hardoon, Craig Saunders and John Shawe-Taylor
(2005) Working Paper. none, Southampton, UK.

Semantic Models for Machine Learning
David Hardoon
(2006) PhD thesis, University of Southampon.

A Correlation Approach for Automatic Image Annotation
David Hardoon, Craig Saunders, Sandor Szedmak and John Shawe-Taylor
In: The 2'nd International Conference on Advanced Data Mining and Applications, 14-16 Aug 2006, Xi'An, China.

Information Retrieval by Inferring Implicit Queries from Eye Movements
David Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki and Samuel Kaski
In: Eleventh International Conference on Artificial Intelligence and Statistic, March 21-24, 2007, San Juan, Puerto Rico.

Using String Kernels to Identify Famous Performers from their Playing Style
Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer
In: Intelligent Music Information Systems: Tools and Methodologies (2006) Idea Group Inc. .

Unsupervised fMRI Analysis
David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor
In: New Directions on Decoding Mental States from fMRI Data, 08 Dec 2006, Whistler, Canada.

Unsupervised analysis of fMRI data using Kernel Canonical Correlation
David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor
NeuroImage 2007.

Using Image Stimuli to Drive fMRI Analysis
David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor
In: 14th International Conference on Neural Information Processing, 13-16 Nov 2007, Kitakyushu, Japan.

Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice
David Hardoon and John Shawe-Taylor
(2007) Technical Report. University College London, London, UK.

Using String Kernels to Identify Famous Performers from their Playing Style
Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer
Intelligent Data Analysis Volume 12, Number 4, 2007.

Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice
David Hardoon and John Shawe-Taylor
Machine Learning Volume 74, Number 1, pp. 23-38, 2009.

Sparse CCA for Bilingual Word Generation
David Hardoon and John Shawe-Taylor
In: EurOPT 2008, 20-23 May 2008, Neringa, Lithuania.

Correlation Based Multivariate Analysis of the Genetic Inﬂuence on Brain Volume
David Hardoon, Ulrich Ettinger, Janaina Mourao-Miranda, Elena Antonova, David Collier, Veena Kumari, Steven Williams and Michael Brammer
(2008) Technical Report. University College London.

A Nonconformity Approach to Model Selection for SVMs
David Hardoon, Zakria Hussain and John Shawe-Taylor
(2009) Technical Report. University College London, London, UK.

Matching Pursuit Kernel Fisher Discriminant Analysis
Tom Diethe, Zakria Hussain, David Hardoon and John Shawe-Taylor
In: 2th International Conference on Artificial Intelligence and Statistics(2009).

Correlation Based Multivariate Analysis of Genetic Influence on Brain Volume
David Hardoon, Ulrich Ettinger, Janaina Mourao-Miranda, Elena Antonova, David Collier, Veena Kumari, Steven Williams and Michael Brammer
Neuroscience Letters Volume 450, Number 3, pp. 281-286, 2009.

GLM and SVM Analyses of Neural Response to Tonal and Atonal Stimuli: New Techniques and A Comparison
Simon Durrant, David Hardoon, Andre Brechmann, John Shawe-Taylor, Edurado Miranda and Henning Scheich
Connection Science, Special Issue on Music, Brain & Cognition 2008.

PAC-Bayes Analysis of Maximum Entropy Learning
John Shawe-Taylor and David Hardoon
In: 12th International Conference on Artificial Intelligence and Statistics(2008).

Accounting for Voxel Neighbourhood Relationship in the SVM
David Hardoon, Janaina Mourão-Miranda, Vanessa Rocha Rego and John Shawe-Taylor
In: 15th Annual Meeting Human Brain Mapping(2008).

One Class SVM for Predicting Brain State
Janaina Mourão-Miranda, David Hardoon, Joao Sato and Michael Brammer
In: 15th Annual Meeting Human Brain Mapping(2008).

Whole Genome Association Studies in Autistic Spectrum Disorders Revisited: A Support Vector Machine Approach
P Johnston, David Hardoon, C Ecker, T Clarke, J Powell and D Murphy
In: 8th Annual International Meeting for Autism Research(2008).

The Double-Barrelled LASSO
David Hardoon and John Shawe-Taylor
In: Learning from Multiple Sources Workshop(2008).

Multiview Learning with Labels
Tom Diethe, David Hardoon and John Shawe-Taylor
In: Learning from Multiple Sources Workshop(2008).

Sparse Canonical Correlation Analysis
David Hardoon and John Shawe-Taylor
In: Sparsity and Inverse Problems in Statistical Theory and Econometrics Workshop(2008).

Sparse Canonical Correlation Analysis
David Hardoon and John Shawe-Taylor
(2007) Technical Report. University College London.

Learning from multi-level behaviours in agent-based simulations: A Systems Biology application
Chih-Chun Chen and David Hardoon
Journal of Simulation, Special Issue: Agent Based Modeling: Theory and Applications 2009.

Decomposing the Tensor Kernel Support Vector Machine for Neuroscience Data with Structure Labels
David Hardoon and John Shawe-Taylor
Machine Learning Journal: Special Issue on Learning From Multiple Sources 2009.

Can Eyes Reveal Interest? Implicit Queries from Gaze Patterns
Antti Ajanki, David Hardoon, Samuel Kaski, Kai Puolamäki and John Shawe-Taylor
User Modeling and User-Adapted Interaction: The Journal of Personalization Research Volume 19, Number 4, pp. 307-339, 2009.

Automatic Choice of Control Measurements
Gayle Leen, David Hardoon and Samuel Kaski
In: Asian Conference on Machine Learning(2009).

Convergence Analysis of Kernel Canonical Correlation Analysis: Theory and Practice
David Hardoon and John Shawe-Taylor
Machine Learning Journal Volume 74, Number 1, pp. 23-38, 2009.