 | 2008 |
|---|
| 9 |       | David J. Crisp:
Improved Data Structures for Fast Region Merging Segmentation Using a Mumford-Shah Energy Functional.
DICTA 2008: 586-592 |
| 2007 |
|---|
| 8 | | David J. Crisp,
Nick J. S. Stacy,
D. A. Hudson,
P. B. Pincus,
Alvin S. Goh:
Polarimetric analysis of maritime SAR data collected with the DSTO ingara X-Band radar.
IGARSS 2007: 3870-3873 |
| 2006 |
|---|
| 7 | | Trevor Chi-Yuen Tao,
David J. Crisp,
John van der Hoek:
Mathematical Analysis of An Extended Mumford-Shah Model for Image Segmentation.
Journal of Mathematical Imaging and Vision 24(3): 327-340 (2006) |
| 2003 |
|---|
| 6 | | David J. Crisp,
Peter G. Perry,
Nicholas J. Redding:
Fast Segmentation of Large Images.
ACSC 2003: 87-93 |
| 5 | | Trevor C. Tao,
David J. Crisp:
A Useful Bound for Region Merging Algorithms in a Bayesian Model.
ACSC 2003: 95-100 |
| 4 | | Christopher J. C. Burges,
David J. Crisp:
Uniqueness theorems for kernel methods.
Neurocomputing 55(1-2): 187-220 (2003) |
| 1999 |
|---|
| 3 | | David J. Crisp,
Robert E. Bogner:
An application of support vector machines to an image interpretation problem.
KES 1999: 381-384 |
| 2 | | Christopher J. C. Burges,
David J. Crisp:
Uniqueness of the SVM Solution.
NIPS 1999: 223-229 |
| 1 | | David J. Crisp,
Christopher J. C. Burges:
A Geometric Interpretation of v-SVM Classifiers.
NIPS 1999: 244-250 |
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