An application of support vector machines to an image interpretation problem. - David J. Crisp; Robert E. Bogner (KES, 1999)

Uniqueness of the SVM Solution. - Christopher J. C. Burges; David J. Crisp (NIPS, 1999)

A Geometric Interpretation of v-SVM Classifiers. - David J. Crisp; Christopher J. C. Burges (NIPS, 1999)

Fast Segmentation of Large Images. - David J. Crisp; Peter G. Perry; Nicholas J. Redding (ACSC, 2003)

A Useful Bound for Region Merging Algorithms in a Bayesian Model. - Trevor C. Tao; David J. Crisp (ACSC, 2003)

Uniqueness theorems for kernel methods. - Christopher J. C. Burges; David J. Crisp (Neurocomputing, 2003)

Polarimetric analysis of fine resolution X-band SAR sea clutter data. - Nick J. S. Stacy; David J. Crisp; Alvin S. Goh; Daniel Badger; Mark Preiss (IGARSS, 2005)

Mathematical Analysis of An Extended Mumford-Shah Model for Image Segmentation. - Trevor Chi-Yuen Tao; David J. Crisp; John van der Hoek (J. Math. Imaging Vis., 2006)

Polarimetric analysis of maritime SAR data collected with the DSTO ingara X-Band radar. - David J. Crisp; Nick J. S. Stacy; D. A. Hudson; Paul B. Pincus; Alvin S. Goh (IGARSS, 2007)

Improved Data Structures for Fast Region Merging Segmentation Using a Mumford-Shah Energy Functional. - David J. Crisp (DICTA, 2008)