An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
This paper addresses detection of imperfections in repetitive regular structures (textures). Humans can easily find such defects without prior knowledge of the `good' pattern...
We show how the symmetry of motion can be extracted by using the Generalised Symmetry Operator for analysing motion and for gait recognition. This operator, rather than relying on...
James B. Hayfron-Acquah, Mark S. Nixon, John N. Ca...
A consistency protocol can be termed symmetric if all processors are treated identically when they access common resources. By contrast, asymmetric protocols usually assign a home...
This paper presents iNFAnt, a parallel engine for regular expression pattern matching. In contrast with traditional approaches, iNFAnt adopts non-deterministic automata, allowing ...