The problem of object recognition may be cast into a spatial grammar framework. This system comprises three novel elements: a spatial organisation of line features, an efficient t...
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
In this paper we detail a preliminary model for reasoning about annotating learning objects and intelligently showing annotations to users who will benefit from them. Student inter...
This paper reviews some attempts that exploit a phenomenon, also known as motion parallax, to estimate the distance of closest approach of a moving object. Despite their success, ...
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...