What's New @ IEEE in Computing, February 2006

4. ALGORITHMS TO AID DEVELOPMENT OF PATTERN RECOGNITION SOFTWARE DEVELOPED
Departing from traditional approaches to promoting the development of pattern recognition software, researchers at Ohio State University have created a new method that tests machine vision algorithms to evaluate which algorithm is most successful for a given application. Using two databases, one consisting of objects such as apples and pears and another of faces with various expressions, the researchers found the tasks of sorting objects and identifying expressions to be distinct in such a way that an algorithm could be good at doing one but not the other. The end result allows for a faster, more efficient way to gather data from pattern recognition software, according to Aleix Martinez, assistant professor of electrical and computer engineering at Ohio State. This work may have an affect on research in areas as varied as neuroscience, genetics, and economics. Read more:
http://www.eurekalert.org/pub_releases/2006-01/osu-anw012406.php

5. INTELLIGENT TRANSPORTATION PAPERS NEEDED
The IEEE Pervasive Computing Magazine has announced a call for papers for a special issue on intelligent transportation. Authors are asked to submit articles describing the application of pervasive computing technologies, systems, and applications to vehicles, roads, and other transportation systems. Also encouraged are articles that discuss the security, privacy, social, and human-related issues of intelligent transportation, and case studies of experiences with existing pervasive technologies in use in transportation. Deadline for submission is 31 May 2006. For details, visit:
http://www.computer.org/portal/pages/pervasive/content/cfp4.html