PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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PASCAL Network

Full NameDavid R Hardoon
TitleHonorary Senior Research Fellow
SiteUniversity College, London
StatusTerminated
Tel+44 (0)20 7679 0425
Fax+44 (0)20 7387 1397
WWWwww.davidroihardoon.com

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Machine Vision
Brain Computer Interfaces
Information Retrieval & Textual Information Access
Multimodal Integration
User Modelling for Computer Human Interaction
Publications

Number of records: 53.

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)
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)
A Nonconformity Approach to Model Selection for SVMs David Hardoon, Zakria Hussain and John Shawe-Taylor Monograph Item availablity restricted. (01 February 2009)
Accounting for Voxel Neighbourhood Relationship in the SVM David Hardoon, Janaina Mourão-Miranda, Vanessa Rocha Rego and John Shawe-Taylor Conference or Workshop Item (2008)
Automatic Choice of Control Measurements Gayle Leen, David Hardoon and Samuel Kaski Conference or Workshop Item (2009)
Automatic choice of control measurements Gayle Leen, David Hardoon and Samuel Kaski Conference or Workshop Item (2009)
Can Eyes Reveal Interest? - Implicit Queries from Gaze Patterns Antti Ajanki, David Hardoon, Samuel Kaski, Kai Puolamäki and John Shawe-Taylor Article Item availablity restricted. (October 2009)
Can Eyes Reveal Interest? Implicit Queries from Gaze Patterns Antti Ajanki, David Hardoon, Samuel Kaski, Kai Puolamäki and John Shawe-Taylor Article (2009)
Can eyes reveal interest? Implicit queries from gaze patterns Antti Ajanki, David Hardoon, Samuel Kaski, Kai Puolamäki and John Shawe-Taylor Article Item availablity restricted. (2009)
Can style be learned? A machine learning approach towards ‘performing’ as famous pianists Louis Dorard, David Hardoon and John Shawe-Taylor Conference or Workshop Item (07 December 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)
Convergence Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Article (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 Article Item not available online. (2009)
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 Monograph (09 July 2008)
Decomposing the Tensor Kernel Support Vector Machine for Neuroscience Data with Structure Labels David Hardoon and John Shawe-Taylor Article (2009)
Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval Zakria Hussain, Alex Leung, Kitsuchart Pasupa, David Hardoon, Peter Auer and John Shawe-Taylor Conference or Workshop Item (20 September 2010)
fMRI Analysis via One-class Machine Learning Techniques David Hardoon and Larry M. Manevitz Conference or Workshop Item (14 February 2005)
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)
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 Article Item not available online. (2008)
Image Ranking with Eye Movements Kitsuchart Pasupa, Sandor Szedmak and David Hardoon Conference or Workshop Item Item not available online. (11 December 2009)
Image Ranking with Implicit Feedback from Eye Movements David Hardoon and Kitsuchart Pasupa Conference or Workshop Item Item not available online. (22 March 2009)
Information Retrieval by Inferring Implicit Queries from Eye Movements David Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki and Samuel Kaski Conference or Workshop Item (18 October 2006)
KCCA Feature Selection for fMRI Analysis David Hardoon, John Shawe-Taylor and Ola Friman Monograph (25 August 2004)
KCCA for fMRI Analysis David Hardoon, John Shawe-Taylor and Ola Friman Conference or Workshop Item (28 May 2004)
Learning from multi-level behaviours in agent-based simulations: A Systems Biology application Chih-Chun Chen and David Hardoon Article Item not available online. (2009)
Matching Pursuit Kernel Fisher Discriminant Analysis Tom Diethe, Zakria Hussain, David Hardoon and John Shawe-Taylor Conference or Workshop Item (2009)
Multiview Learning with Labels Tom Diethe, David Hardoon and John Shawe-Taylor Conference or Workshop Item (2008)
One Class SVM for Predicting Brain State Janaina Mourão-Miranda, David Hardoon, Joao Sato and Michael Brammer Conference or Workshop Item (2008)
PAC-Bayes Analysis of Maximum Entropy Learning John Shawe-Taylor and David Hardoon Conference or Workshop Item (2008)
Retrieving Keyword's to an Image Query using Kernel CCA David R. Hardoon, Sandor Szedmak and John Shawe-Taylor Monograph (04 June 2004)
Semantic Models for Machine Learning David Hardoon Thesis (February 2006)
Signal Extraction for Brain-Computer Interface David Hardoon and John Shawe-Taylor Conference or Workshop Item (22 November 2003)
Signal Extraction for Brain-Computer Interface David Hardoon and John Shawe-Taylor Conference or Workshop Item (12 December 2003)
Sparse Canonical Correlation Analysis David Hardoon and John Shawe-Taylor Conference or Workshop Item Item not available online. (2008)
Sparse Canonical Correlation Analysis David Hardoon and John Shawe-Taylor Monograph (2007)
Sparse CCA for Bilingual Word Generation David Hardoon and John Shawe-Taylor Conference or Workshop Item Item not available online. (27 November 2007)
Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Monograph (April 2007)
Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice David Hardoon and John Shawe-Taylor Article (08 October 2009)
Text classification with a Primal SVM endowed with domain knowledge Emilio Parrado-Hernandez and David Hardoon Monograph (08 June 2008)
The Double-Barrelled LASSO David Hardoon and John Shawe-Taylor Conference or Workshop Item (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)
Unsupervised analysis of fMRI data using Kernel Canonical Correlation David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor Article Item availablity restricted. (22 February 2007)
Unsupervised fMRI Analysis David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor Conference or Workshop Item (18 October 2006)
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 Monograph Item availablity restricted. (2005)
Using Image Stimuli to Drive fMRI Analysis David Hardoon, Janaina Mourao-Miranda, Michael Brammer and John Shawe-Taylor Conference or Workshop Item (May 2007)
Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Conference or Workshop Item (26 April 2004)
Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article Item availablity restricted. (September 2005)
Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Book Section (31 May 2006)
Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article Item availablity restricted. (14 June 2007)
Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article (2008)
Using String Kernels to Identify Famous Performers from their Playing Style Craig Saunders, David Hardoon, John Shawe-Taylor and Gerhard Widmer Article Item availablity restricted. (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 Conference or Workshop Item (2008)

This list was generated on Sat Nov 1 06:33:47 GMT 2014.