: Some of the shortcomings of using refinement alone as the means of passing from high level simple models to actual detailed implementations are reviewed. Retrenchment is presente...
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
Component-based software engineering is a paradigm aiming at better ways to reuse existing code and to distribute work across teams. Integrating UI components developed with diffe...
—We present a real-time algorithm which can recover the 3D trajectory of a monocular camera, moving rapidly through a previously unknown scene. Our system, which we dub MonoSLAM,...
Andrew J. Davison, Ian D. Reid, Nicholas Molton, O...