| 2008 |
|---|
| 8 | EE | Craig Saunders,
David R. Hardoon,
John Shawe-Taylor,
Gerhard Widmer:
Using string kernels to identify famous performers from their playing style.
Intell. Data Anal. 12(4): 425-440 (2008) |
| 2007 |
|---|
| 7 | EE | Sándor Szedmák,
Tijl De Bie,
David R. Hardoon:
A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning.
ESANN 2007: 211-216 |
| 6 | EE | David R. Hardoon,
Janaina Mourão Miranda,
Michael Brammer,
John Shawe-Taylor:
Using Image Stimuli to Drive fMRI Analysis.
ICONIP (1) 2007: 477-486 |
| 2006 |
|---|
| 5 | EE | David R. Hardoon,
Craig Saunders,
Sándor Szedmák,
John Shawe-Taylor:
A Correlation Approach for Automatic Image Annotation.
ADMA 2006: 681-692 |
| 2005 |
|---|
| 4 | EE | David R. Hardoon,
Larry M. Manevitz:
fMRI Analysis via One-class Machine Learning Techniques.
IJCAI 2005: 1604-1605 |
| 3 | EE | Jason D. R. Farquhar,
David R. Hardoon,
Hongying Meng,
John Shawe-Taylor,
Sándor Szedmák:
Two view learning: SVM-2K, Theory and Practice.
NIPS 2005 |
| 2004 |
|---|
| 2 | EE | Craig Saunders,
David R. Hardoon,
John Shawe-Taylor,
Gerhard Widmer:
Using String Kernels to Identify Famous Performers from Their Playing Style.
ECML 2004: 384-395 |
| 1 | EE | David R. Hardoon,
Sándor Szedmák,
John Shawe-Taylor:
Canonical Correlation Analysis: An Overview with Application to Learning Methods.
Neural Computation 16(12): 2639-2664 (2004) |
