Face recognition methods based on Principle Component Analysis (PCA), known as the eigen face method, were some of the best performing methods for some time and are still often used as base line in comparisons. One of the best known variants is the combination of eigenfaces with the log likelihood ratio distance measure. The last few years no large improvements have been made and the method is ...

Extracting the “correct” location information from text data, i.e., determining the place of event, has long been a goal for automated text processing. To approximate human-like coding schema, we introduce a supervised machine learning algorithm that classifies each location word to be either correct or incorrect. We use news articles collected from around the world (Integrated Crisis Early War...

We describe Localization-Space Trails (LOST), a method that enables a team of robots to navigate between places of interest in an initially unknown environment using a trail of landmarks. The landmarks are not physical; they are waypoint coordinates generated on-line by each robot and shared with team-mates. Waypoints are specified in each robot’s local coordinate system, and contain references...

A recent study of spatial processing in amusia makes a controversial claim that such musical deficits may be understood in terms of a problem in the representation of space. If such a link is demonstrated to be causal, it would challenge the prevailing view that deficits in amusia are specific to the musical or even the auditory domain.

Two problems often occur when implementing large software projects in a group: the problem of orientation and the problem of finding competent partners for tight co-operation. This paper presents a spatial representation of the shared source code under development called software space. It shows how awareness about other person’s activities can be provided, which helps to find appropriate partn...